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» Estimating human shape and pose from a single image
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ACCV
2006
Springer
15 years 3 months ago
Virtual Fashion Show Using Real-Time Markerless Motion Capture
Abstract. This paper presents a motion capture system using two cameras that is capable of estimating a constrained set of human postures in real time. We first obtain a 3D shape ...
Ryuzo Okada, Björn Stenger, Tsukasa Ike, Nobu...
JVCA
2006
206views more  JVCA 2006»
14 years 9 months ago
Realistic human hand deformation
d Abstract) Jieun Lee, Seung-Hyun Yoon, and Myunng-Soo Kim Seoul National University, KOREA We present a new approach to realistic hand modeling and deformation with real-time per...
Jieun Lee, Seung-Hyun Yoon, Myung-Soo Kim
CVPR
2008
IEEE
15 years 11 months ago
Regression from patch-kernel
In this paper, we present a patch-based regression framework for addressing the human age and head pose estimation problems. Firstly, each image is encoded as an ensemble of order...
Shuicheng Yan, Xi Zhou, Ming Liu, Mark Hasegawa-Jo...
IROS
2007
IEEE
171views Robotics» more  IROS 2007»
15 years 4 months ago
Learning full-body motions from monocular vision: dynamic imitation in a humanoid robot
— In an effort to ease the burden of programming motor commands for humanoid robots, a computer vision technique is developed for converting a monocular video sequence of human p...
Jeffrey B. Cole, David B. Grimes, Rajesh P. N. Rao
AMDO
2000
Springer
15 years 2 months ago
Model Adaptation and Posture Estimation of Moving Articulated Object Using Monocular Camera
This paper presents a method of estimating both 3-D shapes and moving poses of an articulated object from a monocular image sequence. Instead of using direct depth data, prior loo...
Nobutaka Shimada, Yoshiaki Shirai, Yoshinori Kuno