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» Computational methods for understanding 3D shapes
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CVPR
2008
IEEE
15 years 8 days ago
Geo-spatial aerial video processing for scene understanding and object tracking
This paper presents an approach to extracting and using semantic layers from low altitude aerial videos for scene understanding and object tracking. The input video is captured by...
Jiangjian Xiao, Hui Cheng, Feng Han, Harpreet S. S...
3DOR
2009
13 years 11 months ago
SHREC'09 Track: Structural Shape Retrieval on Watertight Models
The annual SHape REtrieval Contest (SHREC) measures the performance of 3D model retrieval methods for several different types of models and retrieval purposes. In this contest the...
J. Hartveldt, Michela Spagnuolo, Apostolos Axenopo...
CVPR
2000
IEEE
15 years 8 days ago
Improved Motion Stereo Matching Based on a Modified Dynamic Programming
A new method for computing precise depth map estimates of 3D shape of a moving object is proposed. 3D shape recovery in motion stereo is formulated as a matching optimization prob...
Mikhail Mozerov, Vitaly Kober, Tae-Sun Choi
ICCV
2009
IEEE
13 years 8 months ago
High-resolution shape reconstruction from multiple range images based on simultaneous estimation of surface and motion
Recognition of dynamic scenes based on shape information could be useful for various applications. In this study, we aimed at improving the resolution of three-dimensional (3D) da...
Yoshihiro Watanabe, Takashi Komuro, Masatoshi Ishi...
ICPR
2006
IEEE
14 years 11 months ago
Genus-Zero Shape Classification Using Spherical Normal Image
A new method for three dimensional (3D) genus-zero shape classification is proposed. It conformally maps a 3D mesh onto a unit sphere and uses normal vectors to generate a spheric...
Jia Li, Shaojun Liu