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» Learning Object Shape: From Drawings to Images
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ICCV
2003
IEEE
15 years 11 months ago
Inferring 3D Structure with a Statistical Image-Based Shape Model
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...
ICCV
2003
IEEE
15 years 11 months ago
Polarization-based Transparent Surface Modeling from Two Views
In this paper, we propose a novel method to recover the surface shape of transparent objects. The degree of polarization of the light reflected from the object surface depends on ...
Daisuke Miyazaki, Masataka Kagesawa, Katsushi Ikeu...
WSCG
2004
232views more  WSCG 2004»
14 years 11 months ago
3D Shape Extraction Using Photographic Tomography with Its Applications
Tomographic imaging is a technique for exploration of a cross-section of an inspected object without destruction. Normally, the input data, known as the projections, are gathered ...
S. Reruang, Withawat Withayachumnankul, Chuchart P...
CVPR
1999
IEEE
15 years 11 months ago
Generic Object Detection using Model Based Segmentation
This paper presents a novel approach for detection and segmentation of generic shapes in cluttered images. The underlying assumption is that generic objects that are man made, fre...
Zhiqian Wang, Jezekiel Ben-Arie
CVPR
2008
IEEE
15 years 11 months ago
Re-thinking non-rigid structure from motion
We present a novel approach to non-rigid structure from motion (NRSFM) from an orthographic video sequence, based on a new interpretation of the problem. Existing approaches assum...
Vincent Rabaud, Serge Belongie