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» Recognizing 3D Objects Using Photometric Invariant
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ACCV
1998
Springer
15 years 1 months ago
Appearance Based Visual Learning and Object Recognition with Illumination Invariance
This paper describes a method for recognizing partially occluded objects under different levels of illumination brightness by using the eigenspace analysis. In our previous work, w...
Kohtaro Ohba, Yoichi Sato, Katsushi Ikeuchi
CVPR
2012
IEEE
13 years 1 days ago
Semantic structure from motion with points, regions, and objects
Structure from motion (SFM) aims at jointly recovering the structure of a scene as a collection of 3D points and estimating the camera poses from a number of input images. In this...
Sid Ying-Ze Bao, Mohit Bagra, Yu-Wei Chao, Silvio ...
3DPVT
2006
IEEE
144views Visualization» more  3DPVT 2006»
15 years 3 months ago
Recovering Illumination and Texture Using Ratio Images
In this paper we consider the problem of factoring illumination and texture from a pair of images of a diffuse object of known geometry. This problem arises frequently in 3D photo...
Alejandro Troccoli, Peter K. Allen
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ECCV
2010
Springer
15 years 3 months ago
Local Occlusion Detection Under Deformations Using Topological Invariants
Occlusions provide critical cues about the 3D structure of man-made and natural scenes. We present a mathematical framework and algorithm to detect and localize occlusions in image...
ECCV
2010
Springer
14 years 10 months ago
Semantic Segmentation of Urban Scenes Using Dense Depth Maps
In this paper we present a framework for semantic scene parsing and object recognition based on dense depth maps. Five viewindependent 3D features that vary with object class are e...
Chenxi Zhang, Liang Wang, Ruigang Yang