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» Recognizing 3D Objects Using Photometric Invariant
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ICPR
2010
IEEE
14 years 9 months ago
Dynamic Hand Pose Recognition Using Depth Data
—Hand pose recognition has been a problem of great interest to the Computer Vision and Human Computer Interaction community for many years and the current solutions either requir...
Poonam Suryanarayan, Anbumani Subramanian, Dinesh ...
ICPR
2004
IEEE
15 years 10 months ago
Neural Network Based Modeling and Color Rendering for Mixed Reality
This paper describes a new approach to color image rendering for mixed reality applications. The approach has two steps. The first uses neural network based photometric stereo to ...
Haruki Kawanaka, Kenji Funahashi, Robert J. Woodha...
3DOR
2008
15 years 11 hour ago
Characterizing Shape Using Conformal Factors
We present a new 3D shape descriptor based on conformal geometry. Our descriptor is invariant under non-rigid quasi-isometric transformations, such as pose changes of articulated ...
Mirela Ben-Chen, Craig Gotsman
VMV
2001
145views Visualization» more  VMV 2001»
14 years 11 months ago
Registering Real-Scene to Virtual Imagery Using Robust Image Features
The ability to locate objects in a real-time video and relate them to virtual objects in a database is important in a number of applications including visually-guided robotic navi...
Yi Lu Murphey, Jianxin Zhang, Michael DelRose
ISMAR
2009
IEEE
15 years 4 months ago
Dynamic seethroughs: Synthesizing hidden views of moving objects
This paper presents a method to create an illusion of seeing moving objects through occluding surfaces in a video. This illusion is achieved by transferring information from a cam...
Peter Barnum, Yaser Sheikh, Ankur Datta, Takeo Kan...