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CVPR
2007
IEEE
16 years 5 months ago
Marker-less Deformable Mesh Tracking for Human Shape and Motion Capture
We present a novel algorithm to jointly capture the motion and the dynamic shape of humans from multiple video streams without using optical markers. Instead of relying on kinemat...
Edilson de Aguiar, Christian Theobalt, Carsten Sto...
131
Voted
ICRA
2010
IEEE
147views Robotics» more  ICRA 2010»
15 years 1 months ago
Feature detection and matching in images with radial distortion
— Image keypoints are broadly used in robotics for different purposes, ranging from recognition to 3D reconstruction, passing by SLAM and visual servoing. Robust keypoint matchin...
Miguel Lourenço, João P. Barreto, Ab...
154
Voted
IPM
2008
159views more  IPM 2008»
15 years 3 months ago
Exploring syntactic structured features over parse trees for relation extraction using kernel methods
Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This ...
Min Zhang, Guodong Zhou, AiTi Aw
121
Voted
ICMLA
2009
15 years 1 months ago
Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
Johannes Hartz
122
Voted
ECCV
2006
Springer
15 years 7 months ago
A Batch Algorithm for Implicit Non-rigid Shape and Motion Recovery
The recovery of 3D shape and camera motion for non-rigid scenes from single-camera video footage is a very important problem in computer vision. The low-rank shape model consists ...
Adrien Bartoli, Søren I. Olsen