AMDO 2006 - PDF Preprint Papers

AMDO 2006 International Workshop on Articulated Motion and Deformable Objects

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AMDO
2006
Springer

325views Computer Graphics» more AMDO 2006»

Predicting 3D People from 2D Pictures

14 years 3 months ago

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Abstract. We propose a hierarchical process for inferring the 3D pose of a person from monocular images. First we infer a learned view-based 2D body model from a single image using...

Leonid Sigal, Michael J. Black

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Id	Views	Title	Status

1	325	Predicting 3D People from 2D Pictures	claim
2	302	Combined Head, Lips, Eyebrows, and Eyelids Tracking Using Adaptive Appearance Models	claim
3	270	Acquisition of Articulated Human Body Models Using Multiple Cameras	claim
4	216	3D Shape Reconstruction of Trunk Swaying Human Body Segments	claim
5	211	Transferring a Labeled Generic Rig to Animate Face Models	claim
6	206	Shape-Motion Based Athlete Tracking for Multilevel Action Recognition	claim
7	205	Towards Hands-Free Interfaces Based on Real-Time Robust Facial Gesture Recognition	claim
8	204	Emotional Facial Expression Classification for Multimodal User Interfaces	claim
9	204	Composition of Complex Motion Models from Elementary Human Motions	claim
10	193	Human Motion Synthesis by Motion Manifold Learning and Motion Primitive Segmentation	claim
11	179	Automatic Pose Correction for Local Feature-Based Face Authentication	claim
12	173	Collision Detection Trough Deconstruction of Articulated Objects	claim
13	165	Action Recognition Using Motion Primitives and Probabilistic Edit Distance	claim
14	163	Efficient Incorporation of Motionless Foreground Objects for Adaptive Background Segmentation	claim
15	159	Interactive Soft Object Simulation with Quadratic Finite Elements	claim
16	147	Boundary Fragment Matching and Articulated Pose Under Occlusion	claim
17	146	Ballistic Hand Movements	claim
18	146	Carrying Object Detection Using Pose Preserving Dynamic Shape Models	claim
19	145	Matching Two-Dimensional Articulated Shapes Using Generalized Multidimensional Scaling	claim
20	134	Monocular Tracking with a Mixture of View-Dependent Learned Models	claim
21	126	Finding Articulated Body in Time-Series Volume Data	claim
22	121	Agents with Personality for Videogames	claim
23	119	Principal Spine Shape Deformation Modes Using Riemannian Geometry and Articulated Models	claim
24	116	Modeling Timing Structure in Multimedia Signals	claim
25	113	Matching Deformable Features Based on Oriented Multi-scale Filter Banks	claim
26	87	A Spatio-temporal Metric for Dynamic Mesh Comparison	claim

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