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1. Full Text Active appearance models
by Cootes, T.F and Edwards, G.J and Taylor, C.J
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 06/2001, Volume 23, Issue 6, pp. 681 - 685
We describe a new method of matching statistical models of appearance to images. A set of model parameters control modes of shape and gray-level variation... 
Deformable models | Image segmentation | Shape control | Optimization methods | Image generation | Iterative algorithms | Robustness | Surface fitting | Active shape model | Image reconstruction | Deformable templates | Model matching | Appearance models | appearance models | ILLUMINATION | FACE IMAGES | TRACKING | deformable templates | model matching | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Electronics | Engineering mathematics | Mathematics | Models | Perturbation (Mathematics) | Analysis | Learning | Matching | Algorithms | Intelligence | Perturbation methods | Images | Mathematical models | Pattern analysis
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2. Full Text Gaussian Process Morphable Models
by Luthi, Marcel and Gerig, Thomas and Jud, Christoph and Vetter, Thomas
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 08/2018, Volume 40, Issue 8, pp. 1860 - 1873
Models of shape variations have become a central component for the automated analysis of images. An important class of shape models are point distribution... 
Deformable models | Analytical models | non-rigid registration | Shape | Computational modeling | Gaussian processes | Statistical shape modeling | Mathematical model | Kernel | image analysis | SEGMENTATION | REGISTRATION | ACTIVE SHAPE MODELS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Computer vision | Parameter estimation | Medical imaging | Statistical analysis | Principal components analysis | Image segmentation | Image analysis | Gaussian process | Algorithms | Statistical models | Forearm | Normal distribution | Registration | Karhunen-Loeve expansion | Regularization | Three dimensional models | Statistical modelling | Multiscale methods
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3. Physics-based deformable models
: applications to computer vision, graphics, and medical imaging
by Metaxas, Dimitris N., 1962
1997, The Kluwer international series in engineering and computer science, ISBN 0792398408, Volume SECS 389, xiii, 308
Computer vision | Mathematical models | Computer graphics | Imaging systems in medicine
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4. Full Text A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation- With Application to Tumor and Stroke
by Menze, Bjoern H and Van Leemput, Koen and Lashkari, Danial and Riklin-Raviv, Tammy and Geremia, Ezequiel and Alberts, Esther and Gruber, Philipp and Wegener, Susanne and Weber, Marc-Andre and Szekely, Gabor and Ayache, Nicholas and Golland, Polina
IEEE Transactions on Medical Imaging, ISSN 0278-0062, 04/2016, Volume 35, Issue 4, pp. 933 - 946
We introduce a generative probabilistic model for segmentation of brain lesions in multi-dimensional images that generalizes the EM segmenter, a common... 
Image segmentation | tumors | object segmentation | Biological system modeling | Brain modeling | Probabilistic logic | anatomical structure | Bayes methods | Lesions | Mathematical model | Medical diagnostic imaging | image segmentation | DEFORMABLE REGISTRATION | RANDOM FORESTS | OUTLIER DETECTION | ENGINEERING, BIOMEDICAL | INJURY | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | Terms Medical diagnostic imaging | BAYESIAN MODEL | ENGINEERING, ELECTRICAL & ELECTRONIC | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | EM ALGORITHM | IMAGES | GROWTH | FRAMEWORK | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Magnetic Resonance Imaging | Brain - diagnostic imaging | Algorithms | Stroke - diagnostic imaging | Brain Neoplasms - diagnostic imaging | Humans | Bayes Theorem | Models, Statistical | Usage | Mathematical models | Research | Gaussian processes
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5. Full Text Object Detection with Discriminatively Trained Part-Based Models
by Felzenszwalb, P F and Girshick, R B and McAllester, D and Ramanan, D
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 09/2010, Volume 32, Issue 9, pp. 1627 - 1645
We describe an object detection system based on mixtures of multiscale deformable part models. Our system is able to represent highly variable object classes... 
Deformable models | Computer vision | Shape | discriminative training | Computer Society | Object recognition | pictorial structures | Support vector machines | Lighting | Object detection | Bicycles | Speech recognition | latent SVM | Iterative algorithms | deformable models | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Reproducibility of Results | Algorithms | Artificial Intelligence | Image Interpretation, Computer-Assisted - methods | Sensitivity and Specificity | Imaging, Three-Dimensional - methods | Image Enhancement - methods | Pattern Recognition, Automated - methods | Discriminant Analysis | Pattern recognition | Image processing | Data mining | Object recognition (Computers) | Analysis | Training | Pascal (programming language) | Deformation | Formability | Mathematical models | Formalism | Pattern analysis | Optimization
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6. Full Text Frame-based elastic models
by Gilles, Benjamin and Bousquet, Guillaume and Faure, Francois and Pai, Dinesh
ACM Transactions on Graphics (TOG), ISSN 0730-0301, 04/2011, Volume 30, Issue 2, pp. 1 - 12
We present a new type of deformable model which combines the realism of physically-based continuum mechanics models and the usability of frame-based skinning... 
deformable solids | Physically-based animation | Deformable solids | COMPUTER SCIENCE, SOFTWARE ENGINEERING | Algorithms | DEFORMABLE MODELS | DEFORMATIONS | FINITE-ELEMENT | SIMULATION | Graphics | Computer Science
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7. Full Text Statistical shape models for 3D medical image segmentation: A review
by Heimann, Tobias and Meinzer, Hans-Peter
Medical Image Analysis, ISSN 1361-8415, 2009, Volume 13, Issue 4, pp. 543 - 563
Statistical shape models (SSMs) have by now been firmly established as a robust tool for segmentation of medical images. While 2D models have been in use since... 
Statistical shape model | Active Appearance model | Active Shape model | Deformable surface | ENGINEERING, BIOMEDICAL | NONRIGID REGISTRATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | NON-EUCLIDEAN METRICS | CARDIAC MRI | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | BRAIN STRUCTURES | AUTOMATIC SEGMENTATION | DEFORMABLE SURFACES | ANATOMICAL SHAPE | ULTRASOUND IMAGES | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | ACTIVE APPEARANCE MODELS | SPHERICAL WAVELETS | Reproducibility of Results | Algorithms | Models, Biological | Artificial Intelligence | Computer Simulation | Humans | Image Interpretation, Computer-Assisted - methods | Sensitivity and Specificity | Imaging, Three-Dimensional - methods | Image Enhancement - methods | Models, Statistical | Pattern Recognition, Automated - methods | Image processing | Analysis
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8. Full Text Multi-View and 3D Deformable Part Models
by Pepik, Bojan and Stark, Michael and Gehler, Peter and Schiele, Bernt
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 11/2015, Volume 37, Issue 11, pp. 2232 - 2245
As objects are inherently 3D, they have been modeled in 3D in the early days of computer vision. Due to the ambiguities arising from mapping 2D features to 3D... 
Deformable models | Geometry | Solid modeling | Three-dimensional displays | 3D object models | structured output learning | Detectors | Object detection | Feature extraction | deformable part models | ORGANIZATION | PICTORIAL STRUCTURES | RECOGNITION | REPRESENTATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Three-dimensional display systems | Usage | Research | Machine vision | Solids modeling
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9. Full Text Oriented Active Shape Models
by Jiamin Liu and Udupa, J.K
IEEE Transactions on Medical Imaging, ISSN 0278-0062, 04/2009, Volume 28, Issue 4, pp. 571 - 584
Active shape models (ASM) are widely employed for recognizing anatomic structures and for delineating them in medical images. In this paper, a novel strategy... 
Image recognition | Spine | Magnetic resonance | Active shape model | Wire | image-based segmentation | Image segmentation | Computed tomography | live wire | model-based segmentation | Active shape models (ASMs) | Breast | Dynamic programming | Biomedical imaging | Live wire | Image-based segmentation | Model-based segmentation | POINT DISTRIBUTION MODELS | ENGINEERING, BIOMEDICAL | dynamic programming | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | APPEARANCE MODELS | LEFT-VENTRICLE | DEFORMABLE CONTOURS | ENGINEERING, ELECTRICAL & ELECTRONIC | IMAGE SEGMENTATION | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | SNAKES | Magnetic Resonance Imaging | Multivariate Analysis | Algorithms | Breast - anatomy & histology | Models, Biological | Humans | Foot - anatomy & histology | Imaging, Three-Dimensional - methods | Liver - anatomy & histology | Tomography, X-Ray Computed | Cervical Vertebrae - anatomy & histology | Evaluation | Diagnostic imaging | Analysis | Studies | Accuracy
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10. Full Text Deformation Models for Image Recognition
by Keysers, D and Deselaers, T and Gollan, C and Ney, H
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 08/2007, Volume 29, Issue 8, pp. 1422 - 1435
We present the application of different nonlinear image deformation models to the task of image recognition. The deformation models are especially suited for... 
Deformable models | Handwriting recognition | Image recognition | Error analysis | Image matching | image alignment | Classification algorithms | Character recognition | medical image categorization | Pixel | Context modeling | Biomedical imaging | Image alignment | Medical image categorization | character recognition | image matching | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms | Image Processing, Computer-Assisted | Artificial Intelligence | Computer Simulation | Humans | Image Interpretation, Computer-Assisted | Pattern Recognition, Automated | Nonlinear Dynamics | Models | Diagnostic imaging | Pattern recognition | Image processing | Object recognition (Computers) | Analysis | Errors | Deformation | Tasks | Classification | Digits | Images | Medical | Recognition
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11. Full Text A Dynamic Texture-Based Approach to Recognition of Facial Actions and Their Temporal Models
by Koelstra, Sander and Pantic, Maja and Patras, Ioannis
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 11/2010, Volume 32, Issue 11, pp. 1940 - 1954
In this work, we propose a dynamic texture-based approach to the recognition of facial Action Units (AUs, atomic facial gestures) and their temporal models... 
Deformable models | Gold | facial expression | Face recognition | motion | Facial image analysis | Image sequences | History | Videos | Image segmentation | Histograms | Hidden Markov models | dynamic texture | Testing | SUPPORT VECTOR MACHINES | EXPRESSION RECOGNITION | IMAGE SEQUENCES | BEHAVIOR | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms | Information Storage and Retrieval - methods | Time Factors | Gestures | Models, Biological | Humans | Video Recording - methods | Facial Expression | Computing Methodologies | Face | Recognition (Psychology) | Pattern Recognition, Automated - methods | Markov processes | Human-computer interaction | Analysis | Studies | Databases | Facial | Dynamics | Images | Segments | Mathematical models | Recognition | Temporal logic
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12. Full Text Domain Adaptation of Deformable Part-Based Models
by Jiaolong Xu and Ramos, Sebastian and Vazquez, David and Lopez, Antonio M
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 12/2014, Volume 36, Issue 12, pp. 2367 - 2380
The accuracy of object classifiers can significantly drop when the training data (source domain) and the application scenario (target domain) have inherent... 
Support vector machines | Training | Deformable models | Adaptation models | Detectors | Data models | Object recognition | deformable part-based model | Domain adaptation | pedestrian detection | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | DETECTOR | ENGINEERING, ELECTRICAL & ELECTRONIC | Models, Theoretical | Walking | Humans | Video Recording | Image Processing, Computer-Assisted - methods | Support Vector Machine | Machine Learning | Usage | Image processing | Gaussian processes | Innovations | Regression analysis | Pattern recognition | Object recognition (Computers) | Feature extraction | Classifiers | Pedestrians | Accuracy | Deformation | Formability | Proposals | Adaptation
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13. Full Text Spatiotemporal Deformable Part Models for Action Detection
by Yicong Tian and Sukthankar, Rahul and Shah, Mubarak
2013 IEEE Conference on Computer Vision and Pattern Recognition, ISSN 1063-6919, 06/2013, pp. 2642 - 2649
Deformable part models have achieved impressive performance for object detection, even on difficult image datasets. This paper explores the generalization of... 
Deformable models | Training | Solid modeling | Three-dimensional displays | Computational modeling | Feature extraction | Spatiotemporal phenomena
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14. Full Text In the Eye of the Beholder: A Survey of Models for Eyes and Gaze
by Hansen, D.W and Qiang Ji
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 03/2010, Volume 32, Issue 3, pp. 478 - 500
Despite active research and significant progress in the last 30 years, eye detection and tracking remains challenging due to the individuality of eyes,... 
Biometrics | Computer vision | Eyes | Tracking | Humans | human--computer interaction | Face detection | gaze estimation | eye detection | Eye | gaze tracking | review paper | eye tracking | Object detection | User interfaces | object detection and tracking | Robustness | Photometry | human-computer interaction | SYSTEM | CALIBRATION | RECOGNITION | FEATURE-EXTRACTION | VIDEO | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ADVERTISEMENTS | ENGINEERING, ELECTRICAL & ELECTRONIC | TRACKING TECHNIQUES | DEFORMABLE TEMPLATES | HEAD MOVEMENT | REAL-TIME | Regression Analysis | Eye Movement Measurements | Eye Movements - physiology | Models, Biological | Fixation, Ocular - physiology | Head Movements - physiology | Image processing | Human-computer interaction | Analysis | Tasks | Mathematical models | Eye movements | Position (location) | Pattern analysis
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15. Full Text A search engine for 3D models
by Funkhouser, Thomas and Min, Patrick and Kazhdan, Michael and Chen, Joyce and Halderman, Alex and Dobkin, David and Jacobs, David
ACM Transactions on Graphics (TOG), ISSN 0730-0301, 01/2003, Volume 22, Issue 1, pp. 83 - 105
As the number of 3D models available on the Web grows, there is an increasing need for a search engine to help people find them. Unfortunately, traditional... 
shape representation | shape matching | shape retrieval | Search engine | Shape retrieval | Shape representation | Shape matching | RANGE IMAGES | search engine | human factors | reliability | REPRESENTATION | SUPERQUADRICS | COMPUTER SCIENCE, SOFTWARE ENGINEERING | SHAPE | 3-D OBJECTS | experimentation | DEFORMABLE TEMPLATES