WACV and MMBIA Camera Ready Copy Instructions
UPLOAD on CMT BY 11:59 PM PST December 1, 2011
There are 4 steps. formatting your paper (with page numbers), submitting the copyright form to IEEE, verifying that your paper is compliant with IEEE’s requirements for PDF files, and finally submitting the camera-ready paper. Also don’t forget that one author from each paper should register for the conference and make arrangements to be there to present. Non-presented papers may not appear in Xplore. Please follow the instructions CAREFULLY; failure to complete any of these requirements may result in your paper being removed from WACV/MMBIA 2012 publication.
This year there has been a change in publishing. You, the authors, are required to add the final page numbers to your papers. (In the past we have paid a company thousands to add them.) The table below has the starting page for your paper and your pages should be numbered consecutively. For page numbering we allocated everyone 8 pages, but that does not mean the added pages are free. Note that you get 6 pages free and $100 extra for each added page(maximum=8).
Windows/Word template was updated or users can simply add a footer with page numbers, centered and .85 inches from the bottom of the page and make it start at the correct page number rather than the 4321 in the example (how to do that depends on your version of Word).
For unix/latex users, you can use the updated latex final paper template, but it may also be easier for people to patch their existing files by setting the page counter and commenting out the line that made all pages empty (originally line 23) (add a % as in the following)
and then commenting out the firstpage being empty on line 46
Failure to use the correct page number, or failure to place it properly, could result in the paper not being included in Xplore, even if it passes PDF express, which does not check page numbers!
NEW IMPORTANT CHANGE: If you need to make changes to the title or author list, you should be able to directly edit in CMT. The title/authors in the copyright form must match exactly.
- For those who are area chairs or reviewers for WACV or MMBIA 2012, go to the Author console. For all others, the Author console is the default page.
- Click on the Submit IEEE Copyright form link at the rightmost column (which initiates eCF). Please read instructions CAREFULLY.
- You need to go through eCF for EACH paper separately.
- Since eCF can only be done ONCE for each paper, it is important that only one person (contact author) work on it per paper.
- Once eCF has been completed, IEEE will email all the authors as verification.
- Make sure your PDF file is IEEE compliant. If your file is noncompliant, it WILL NOT be included by IEEE in Xplore, which means your paper will not be considered as published.
- The easiest way to check for PDF compliance is to use the PDF eXpress web site (http://www.pdf-express.org). Click on the link “New Users – Click Here” and fill in your information. You will need the Conference ID which is: wacv12x
(NOTE : MMBIA and WACV will both use the same PDF eXpress Conference ID — it is just checking compliance.)
- Follow the links at www.ieee.org/confpubcenter for information on the specific elements of PDF compliance. The most frequent cause of noncompliant files is the use of a custom font that is not embedded in the PDF file. You must ensure that all fonts in the document (including those in figure captions, tables, and figure bodies/legends) are embedded.
- This is a basic check for PDF correctness, and does not insure you followed all rules. IEEE may still reject papers that have not followed the instructions, e.g. violations of font, margins or lack of correct page numbers. You will not have a chance to correct anything after submission, so double check you are following the rules.
NOTE: The PDF eXpress validation process is NOT the final paper submission process. Once your paper is valid, you must follow instruction step 4 below.
- For those who are reviewers for WACV or MMBIA, go to the Author console. For all others, the Author console is the default page.
- CMT will not rename/number your files, so please use the following naming/paging convention:
- For the camera-ready file, name must be of the form XXXX.pdf, where XXXX is your four-digit number paper ID (zero-pad if necessary). E.g., if your paper ID is 23, the filename should be 0023.pdf.
- Page numbering: your camera-ready paper should include page numbers starting as described above. This is different than in past years.
- If you wish to load a supplementary file, load the camera-ready file FIRST, then the supplementary file (loading is sequential).
- For the supplementary file, name must be of the form XXXX-supp.YYY, where XXXX is the same as above, and YYY is either pdf or zip only.
Please limit the combined size to 20 MB. Note Supplemental material will NOT be in Xplore and depending on space constraints may also not be in the actual conference memory-sticks. We strongly recommend you consider placing the supplemental material on the web and including a link in your paper (so that readers in Xplore can eventually find it).
Table of Page numbers for WACV papers.
|1||Street View Goes Indoors: Automatic Pose Estimation From Uncalibrated Unordered Spherical Panoramas||Mohamed Aly*, Google|
|9||Implementing High Resolution Structured Light by Exploiting Projector Blur||Camillo Taylor*, University of Pennsylvania|
|17||A New Upsampling Method for Mobile LiDAR Data||Ruisheng Wang*, NAVTEQ; Jeff Bach, ; Jane Macfarlane, NAVTEQ; Frank Ferrie,|
|25||PTZ Camera Network Calibration from Moving People in Sports Broadcasts||Jens Puwein*, ETH Zurich; Remo Ziegler, LiberoVision; Ballan Luca, (ETH Zurich); Marc Pollefeys, ETH Zurich|
|33||Real-time 3-D Face Tracking and Modeling From a Webcam||Jongmoo Choi*, University of Southern Califor; Gerard Medioni, Univ of Southern California; Yann Dumortier, USC-IRIS; Sang-Il Choi, USC; Muhammad Bilal Ahmad, Univ. of So. Calif|
|41||Improving Realism of 3D Texture using Component Based Modeling||Siddharth Kherada*, IIIT-H|
|49||Mutual Occlusion between Real and Virtual Elements in Augmented Reality based on Fiducial Markers||Silvio Sanches*, Universidade de São Paulo; Daniel Tokunaga, Universiadde de São Paulo; Valdinei Silva, Universiadde de São Paulo; Antonio Sementille, Universidade Estadual Paulista; Romero Tori, Universiadde de São Paulo|
|57||Efficient Tracking of Ants in Long Video with GPU and Interaction||Corey Poff, Davidson College; Hoan Nguyen*, UNCC; Tim Kang, UNC-Chapel Hill; Min Shin, UNCC|
|65||Fast Graph Cuts using Shrink-Expand Reparameterization||Parikshit Sakurikar*, IIIT, Hyderabad; P. J. Narayanan, IIIT, Hyderabad|
|73||Non-Rigid Surface Detection for Gestural Interaction with Applicable Surfaces||Andrew Ziegler*, UCSD; Serge Belongie, (UCSD)|
|81||Face Typing: Vision-Based Perceptual Interface for Hands-Free Text Entry with a Scrollable Virtual Keyboard||Yulia Gizatdinova*, University of Tampere; Oleg Spakov , University of Tampere; Veikko Surakka , University of Tampere|
|89||Real-time Stereo and Flow-based Video Segmentation with Superpixels||Michael Van den Bergh*, ETZ Zurich; Luc Van Gool, ETH Zurich, KU Leuven|
|97||Illumination-Free Photometric Metric for Range Image Registration||Diego THOMAS*, National Institute of Informatics; Akihiro Sugimoto,|
|105||Robust Tracking for Interactive Social Video||Stefan Wilk*, University of Mannheim; Stephan Kopf, University of Mannheim; Wolfgang Effelsberg, University of Mannheim|
|113||A Sparse Representation Approach to Face Matching across Plastic Surgery||Gaurav Aggarwal*, University of Notre Dame; Soma Biswas, (Notre Dame); Patrick Flynn, University of Notre Dame; Kevin Bowyer, (University of Notre Dame)|
|121||A Complementary Local Feature Descriptor for Face Identification||Jonghyun Choi*, University of Maryland; William Schwartz, Univ. of Campinas (Unicamp); huimin Guo, University of Maryland; Larry Davis, University of Maryland|
|129||A Passive Stereo System for 3D Human Face Reconstruction and Recognition at a Distance||Mostafa Abdelrahman*, University ofLouisville|
|137||Quaternion DCT Spectral Saliency: Predicting Human Gaze using Quaternion DCT Image Signatures and Face Detection||Boris Schauerte*, Karlsruhe Inst. Tech.; Rainer Stiefelhagen, Karlsruhe Inst. Tech. & Fraunhofer IOSB|
|153||Predicting Good, Bad and Ugly Match Pairs||Gaurav Aggarwal*, University of Notre Dame; Soma Biswas, (Notre Dame); Patrick Flynn, University of Notre Dame; Kevin Bowyer, (University of Notre Dame)|
|161||A Blob Representation for Tracking Robust to Merging and Fragmentation||Vinay Sharma*, (Texas Instruments)|
|169||Secure remote matching with privacy: Scrambled Support Vector Vaulted Verificaiton (S²V³)||Michael Wilber*, VAST lab, UCCS; Terrance Boult, Univ. of Colorado at Colorado Springs|
|177||Measuring Face Familiarity and Its Application to Face Recognition||Ce Zhan*, University of Wollongong; Wanqing Li, ; Philip Ogunbona,|
|185||Image Congealing via Efficient Feature Selection||Ya Xue, GE Global Research; Xiaoming Liu*, Ge Global Research|
|193||For Your Eyes Only||Brian Heflin*, (Securics); Terrance Boult, Univ. of Colorado at Colorado Springs; Walter Scheirer, (Securics)|
|201||Unconstrained Periocular Biometric Acquisition and Recognition Using COTS PTZ Camera for Uncooperative and Non-Cooperative Subjects||Felix Juefei-Xu*, Carnegie Mellon University; Marios Savvides, Carnegie Mellon University|
|209||New Hope for Recognizing Twins by Using Facial Motion||Li Zhang*, Nus ; Ning Ye, ; Elisa Martinez-Marroquin, La Salle-Ramon Llull University; Terence Sim, (National University of Singapore)|
|217||A Nonintrusive System for Behavioral Analysis of Children using Multiple RGB+Depth Sensors||Nicholas Walczak, ; Joshua Fasching, University of Minnesota; Bill Toczyski, University of Minnesota; Nathaniel Bird, University of Minnesota; Barbra Murphy, ; Guillermo Sapiro*, ; Vassilios Morellas, ; Nickolaos Papanikolopoulos,|
|225||Image Alignment for Multiple Camera High Dynamic Range Microscopy||Brian Eastwood*, Colby College; Elisabeth Childs, Colby College|
|233||Automatic Identification of Frankfurt Plane and Mid-Sagittal Plane of Skull||Yuan Cheng*, National Univ. of Singapore; Wee Kheng Loew, National University of Singapore; Thiam Chye Lim, National University Hospital, Singapore|
|241||Multimodal Ranking for Non-Compliance Detection in Retail Surveillance||Hoang Trinh*, IBM T J Watson Research Center; Sharath Pankanti, IBM T J Watson Research Center; Quanfu Fan, IBM T J Watson Research Center|
|249||Group-Level Context Learning for Event Recognition||Yimeng Zhang*, Cornell University; Weina Ge, ; Ming-Ching Chang, ; Xiaoming Liu, Ge Global Research|
|257||A Systems Level Approach to Perimeter Protection||Peter Tu, GE Global Research; Ting Yu*, GE Global Research; Dashan Gao, GE Global Research; Ram Nevatia, Univ. of Southern California; Sung Chun Lee, University of Southern California; Hale Kim, Inha University; Phill Kyu Rhee, Inha University; Joong-Hwan Baek, Korean Aeronautics University|
|265||Indian Classical Dance Classification by Learning Dance Pose Bases||Soumitra Samanta*, ISI, Kolkata; Pulak Purkait, ; Bhabatosh Chanda,|
|273||Accurate Efficient Mosaicking for Wide Area Aerial Surveillance||Jan Prokaj*, Univ of Southern California; Gerard Medioni, Univ of Southern California|
|281||Simultaneous Inference of Activity, Pose and Object||Furqan Khan*, Univ of Southern California; Vivek Singh, Univ of Southern California; Ram Nevatia, Univ. of Southern California|
|289||Enhanced Rail Component Detection and Consolidation for Rail Track Inspection||Hoang Trinh*, IBM T J Watson Research Center; Ying Li, ; Charles Otto, ; Norman Haas, ; Sharath Pankanti, IBM T J Watson Research Center|
|297||LOST: Longterm Observation of Scenes (with Tracks)||Austin Abrams*, Washington University in St. L; Jim Tucek, Washington University in St. L; Nathan Jacobs, (University of Kentucky); Robert Pless, Washington University in St. Louis|
|305||Estimating the Spatial Extents of Geospatial Objects Using Hierarchical Models||Shawn Newsam*, (Univ. of California, Merced); Yi Yang, UC Merced|
|313||Robust Detection, Classification and Positioning of Traffic Signs from Street-Level Panoramic Images for Inventory Purposes||Lykele Hazelhoff*, CycloMedia Technology B.V.; Ivo Creusen, CycloMedia Technology B.V.; Peter de With, Eindhoven University of Technology|
|321||Reconfigurable Templates for Robust Vehicle Detection and classification||Yang Lv*, Beijing Institute of Tech; Benjamin Yao, ; Yongtian Wang, ; Song-Chun Zhu, University of California, Los Angeles|
|329||Classification of Plant Structures from Uncalibrated Image Sequences||Debadeepta Dey*, The Robotics Institute, CMU; Lily Mummert, Intel Labs, Pittsburgh; Rahul Sukthankar, Intel Labs, Pittsburgh|
|337||Measurement of Bitumen Coverage of Stones for Road Building, Based on Digital Image Analysis||Hanna Källén*, Lund University; Anders Heyden, Lund University; Kalle Åström, Lund University; Per Lindh, Peab|
|345||Photographic Steganography for Visual MIMO: A Computer Vision Approach||Wenjia Yuan*, Rutgers University; Kristin Dana, (Rutgers University)|
|353||Localization Accuracy of Interest Point Detectors Evaluated on Intensity-Depth Images||Xiaojin Gong*, Zhejiang University; Jilin Liu, Zhejiang University|
|361||A Modular System Architecture for Online Parallel Vision Pipelines||Jeremie Papon*, University of Goettingen; Alexey Abramov, Georg-August University; Eren Erdal Aksoy, University of Goettingen; Florentin Woergoetter,|
|369||Tools for Richer Crowd Source Image Annotations||Joshua Little, Washington University in St. Louis; Austin Abrams*, Washington University in St. L; Robert Pless, Washington University in St. Louis|
|377||Point-less Calibration: Camera Parameters from Gradient-Based Alignment to Edge Images||Peter Carr*, Disney Research, Pittsburgh|
|385||Color Balancing for Change Detection in Multitemporal Images||Jim Thomas*, University of Notre Dame; Kevin Bowyer, University of Notre Dame; Ahsan Kareem, University of Notre Dame|
|393||LSDA Solution Schemes for Modelless 3D Head Pose Estimation||Fadi Dornaika*, Univ. of Basque Country; Alireza Bosaghzadeh, ; Bogdan Raducanu, Computer Vision Center|
|401||Batch Mode Active Learning For Multi-Label Image Classification With Informative Label Correlation Mining||Bang Zhang*, University of New South Wales; Yang Wang, National ICT Australia; Wei Wang, University of New South Wales|
|409||Learning and Recognizing Complex Multi-Agent Activities with Applications to American Football Plays||Eran Swears*, Kitware Inc.; Anthony Hoogs, (Kitware)|
|417||Non-Parametric Motion-Priors for Flow Understanding||Vasilis Lasdas*, K.U. Leuven; Radu Timofte, K.U. Leuven; Luc Van Gool, K.U. Leuven|
|425||Online Discriminative Object Tracking with Local Sparse Representation||Qing Wang*, Tsinghua University; Ming-Hsuan Yang, (UC-Merced); Feng Chen, Tsinghua University; Wenli Xu, Tsinghua University|
|433||Kernel Analysis over Riemannian Manifolds for Visual Recognition of Actions, Pedestrians and Textures||Mehrtash Harandi*, National ICT Australia (NICTA); Conrad Sanderson, National ICT Australia (NICTA); Arnold Wiliem, National ICT Australia (NICTA); Brian Lovell, National ICT Australia (NICTA)|
|441||Improving Evolution-COnstructed Features Using Speciation||Kirt Lillywhite*, Brigham Young University; Dah-Jye Lee, Brigham Young University; Beau Tippetts, Brigham Young University|
|449||Learning Reconfigurable Scene Representation by Tangram Model||Jun Zhu*, Shanghai Jiao Tong University; Tianfu Wu, ; Song-Chun Zhu, University of California, Los Angeles ; Xiaokang Yang, Shanghai Jiao Tong University; Wenjun Zhang, Shanghai Jiao Tong University|
|457||Depth-supported real-time video segmentation with the Kinect||Alexey Abramov*, Georg-August University; Babette Dellen, ; Karl Pauwels, ; Jeremie Papon, ; Florentin Woergoetter,|
|465||Appearance-based Face Recognition Using A Supervised Manifold Learning Framework||Bogdan Raducanu*, Computer Vision Center; Fadi Dornaika,|
|473||Fast Planar Object Detection and Tracking via Edge Distribution Templates||Taehee Lee*, UCLA; Stefano Soatto, UCLA|
|481||Multiple-Instance Learning from Multiple Perspectives: Combining Models for Multiple-Instance Learning||Bang Zhang*, University of New South Wales; Yang Wang, National ICT Australia; Wei Wang, University of New South Wales|
|489||Apparel Silhouette Attributes Recognition||Wei Zhang*, Google; Emilio Antunez, Google Inc; Salih Gokturk, Google Inc; Baris Sumengen, Google Inc|
|497||Real Time Moving Vehicle Detection and Reconstruction for Improving Classification||Tao Wang*, City College of New York; Zhigang Zhu, (CCNY)|
|505||CompactKdt: Compact Signatures for Accurate Large Scale Image Search||Mohamed Aly*, Google|
Table of Page numbers for MMBIA papers.
|ID||Paper Title||Authors||Start Page #|
|Oral Session 1 – DTI|
|29||A Geometric Analysis of ODFs As Oriented Surfaces for Interpolation, Averaging and Denoising in HARDI Data||Sentibaleng Ncube, ; Qian Xie*, Florida State University; Anuj Srivastava, FSU||1|
|68||A Generalized Correlation Coefficient: Application to DTI and Multi-Fiber DTI||Maxime Taquet*, UCL, Belgium; Benoît Macq, ; Simon Warfield, Harvard Medical School||9|
|74||Reconstruction of HARDI using compressed sensing and its application to contrast HARDI||Sudipto Dolui*, University of Waterloo; Iván Salgado Patarroyo, University of Waterloo; Oleg Michailovich, University of Waterloo; Yogesh Rathi, Brigham and Women’s Hospital, Harvard Medical School||17|
|Oral Session 2 – Modeling|
|8||Sparse Shape Representation using the Laplace-Beltrami Eigenfunctions and Its Application to Modeling Subcortical Structures||Seung-Goo Kim, Seoul National University; Moo Chung*, University of Wisconsin, Madison; Stacey Schaefer, University of Wisconsin, Madison; Carien van Reekum, University of Reading; Richard Davidson, University of Wisconsin-Madison||25|
|16||Elastic Symmetry Analysis of Anatomical Structures||Sebastian Kurtek*, Florida State University; Anuj Srivastava, Florida State University Department of Statistics||33|
|76||Vascular Bifurcation Detection in Scale-Space||Daniel Baboiu*, Simon Fraser University; Ghassan Hamarneh, Simon Fraser University||41|
|Oral Session 3 – Segmentation|
|17||Building Spatiotemporal Anatomical Models through Joint Segmentation, Registration, and 4D-Atlas Estimation||Marcel Prastawa*, University of Utah; Suyash Awate, ; Guido Gerig, U of Utah||49|
|75||Using a Flexibility Constrained 3D Statistical Shape Model for Robust MRF-Based Segmentation||Tahir Majeed*, Medical Image Analysis Center; Ketut Fundana, ; Silja Kiriyanthan, University of Basel; Marcel Luethi, Dept of Computer Science, University of Basel; Joerg Beinemann, ; Philippe Cattin, University of Basel||57|
|25||Pictorial Multi-atlas Segmentation of Brain MRI||CHENG-YI LIU*, UCLA; Juan Eugenio Iglesia, UCLA; Zhuowen Tu, UCLA||65|
|31||Multi-region Competitive Tractography via Graph-based Random Walks||Brian Booth*, Simon Fraser University; Ghassan Hamarneh, Simon Fraser University||73|
|Oral Session 4 – Applications|
|14||Automated Abdominal Fat Quantification and Food Residue Removal in CT||Sokratis Makrogiannis*, NIA/NIH; Ramona Ramachandran, NIA/NIH; Chee Chia, NIA/NIH; Ferrucci Luigi, NIA/NIH||81|
|19||Disease-Specific Context Modeling and Retrieval with Fast Structure Localization||Yang Song*, University of Sydney; Weidong Cai, ; Dagan Feng,||89|
|57||Learning Features for Streak Detection in Dermoscopic Color Images using Localized Radial Flux of Principal Intensity Curvature||Hengameh Mirzaalian*, SFU; Ghassan Hamarneh, Simon Fraser University; Tim Lee, UBC||97|
|Poster Session 1|
|4||Max Margin General Linear Modeling for Neuroimage Analyses||Nagesh Adluru*, University of Wisconsin-Madiso; Chad Ennis, University of Wisconsin-Madison; Richard Davidson, University of Wisconsin-Madison; Andrew Alexander, University of Wisconsin-Madison||105|
|10||Registration of Unseen Images Based on the Generative Manifold Modeling of Variations of Appearance and Anatomical Shape in Brain Population||Weiwei Zhang *, University of Pennsylvania||113|
|11||Volume of Interest (VOI)-Based Retrieval using Psychophysical Similarity and Graph Cut||Ravi Samala*, University of Texas, El Paso; Ming-Ying Leung, Department of Mathematical Sciences, University of Texas, El Paso; Sergio Cabrera, Department of Electrical & Computer Engineering, University of Texas, El Paso; Jianying Zhang , Department of Biological Sciences, University of Texas, El Paso; Wilfrido Moreno , Department of Electrical Engineering, University of South Florida, Tampa; wei Qian, Department of Electrical & Computer Engineering, University of Texas, El Paso||121|
|22||A Coupled Segmentation and Registration Framework for Medical Image Analysis Using Robust Point Matching and Active Shape Model||Chao Lu*, Yale University; James Duncan, Yale University||129|
|27||A Fiber Tracking Method Guided by Volumetric Tract Segmentation||Chuyang Ye*, Johns Hopkins University; Pierre-Louis Bazin, ; Sarah Ying, ; Jerry Prince, Johns Hopkins U||137|
|28||Parametric non-rigid registration using a stationary velocity field||Marc Modat*, UCL; Gerard Ridgway, ; Pankaj Daga, ; Jorge Cardoso, ; John Ashburner, ; Sebastien Ourselin, UCL||145|
|32||Multi-STEPS: Multi-Label Similarity and Truth Estimation for Propagated Segmentations||Jorge Cardoso*, ; Marc Modat, UCL; Shiva Keihaninejad, ; Dave Cash, UCL; Sebastien Ourselin, UCL||153|
|34||Automatic Detection of Subcellular Particles in Fluorescence Microscopy via Feature Clustering and Bayesian Analysis||Liang Liang*, Yale University; Yingke xu, yale; hongying Shen, yale; derek Toomre, yale; pietro Camilli, yale; James Duncan, Yale University||161|
|41||Non-rigid Image Registration using Electric Current Flow||Shu Liao, HKUST; Max W K Law, HKUST; Albert Chung*, Hong Kon U of Science and Technology||169|
|45||Supervised localization of cell nuclei on TMA images||Alessandro Ibba*, TU Delft; Marco Loog, TU Delft; Robert P.W. Duin, TU Delft||177|
|47||Topology Preserving Brain Tissue Segmentation Using Graph Cuts||Xinyang Liu*, Johns Hopkins University; Pierre-Louis Bazin, ; Aaron Carass, Johns Hopkins University; Jerry Prince, Johns Hopkins U||185|
|48||Toward Whole-Brain Maps of Neural Connections: Logical Framework and Fast Implementation||Myron Zhang, Cleveland Clinic Foundation; KEN SAKAIE*, THE CLEVELAND CLINIC; Stephen Jones, The Cleveland Clinic||193|
|Oral Session 5 – Tracking/Registration|
|20||Best Linear Unbiased Estimator for Kalman Filter Based Left Ventricle Tracking in 3D+T Echocardiography||Engin Dikici*, NTNU; Fredrik Orderud, GE Vingmed Ultrasound; Hans Torp, Norwegian University of Science and Technology||201|
|33||Robust Tumour Tracking From 2D Imaging Using a Population-Based Statistical Motion Model||Frank Preiswerk*, University of Basel; Patrik Arnold, MIAC; Beat Fasel, University of Basel; Philippe Cattin, University of Basel||209|
|46||Sparsity and Scale: Compact Representations of Deformation for Diffeomorphic Registration||Stefan Sommer*, University of Copenhagen; Mads Nielsen, University of Copenhagen; Xavier Pennec, INRIA Sophia-Antipolis||217|
|Poster Session 2|
|50||Reconstructing A Sequence of Magnetic Resonance Images Simultaneously Using Low-Rank and Sparse Model||Shiqian Ma*, University of Minnesota; Amit Chakraborty, Siemens Corporate Research||225|
|54||Peak Geodesic Concentration: A measure of WM complexity in HARDI||Arvind Rao*, University of Pennsylvania; Alex Smith, University of Pennsylvania; Robert Schultz, Children’s Hospital of Philadelphia; Timothy Roberts, Lurie Family Foundations; Ragini Verma, “University of Pennsylvania, USA”||233|
|55||Automatic Atlas-based Three-label Cartilage Segmentation from MR Knee Images||Liang Shan*, UNC Chapel Hill; Marc Niethammer, UNC Chapel Hill||241|
|59||Super-Resolution Reconstruction of Diffusion-Weighted Images from Distortion Compensated Orthogonal Anisotropic Acquisitions.||Benoit Scherrer*, Harvard Medical School; Ali Gholipour, Harvard Medical School; Simon Warfield, Harvard Medical School||249|
|61||Robust Non-Rigid Registration and Characterization of Uncertainty||Firdaus Janoos*, Harvard Medical School; Petter Risholm, Harvard Medical School; William Wells, “Harvard Medical School, USA”||257|
|62||Iterative Segmentation and Motion Correction for Dynamic PET Images based on Radioactive Tracer Kinetics||Hengameh Mirzaalian*, SFU; Ahmed Saad, SFU; Ghassan Hamarneh, Simon Fraser University||265|
|65||Spatial dispersion of lesions as a surrogate biomarker for disability in multiple sclerosis||Fahime Sheikhzadeh*, University of British Columbia; Roger Tam, ; Ghassan Hamarneh, Simon Fraser University||273|
|73||Motion modelling and motion compensated reconstruction of tumours in cone-beam computed tomography||James Martin*, UCL; Jamie McClelland, UCL; David Hawkes, UCL||281|
|77||Polyaffine parametrization of Image registration based on geodesic flows||Michael Hansen*, Harvard Medical School; Signe Thorup, Childrens Hospital Boston, Harvard Medical School; Simon Warfield, Harvard Medical School||289|
|80||Automatic Extraction of Coronary Artery Tree in 2D X-ray Angiography||Tanveer Syeda-Mahmood*, IBM Almaden Research||297|
|81||Segmentation of Left Ventricles from Echocardiographic Sequences via Sparse Appearance Representation||Xiaojie Huang*, Yale University||305|