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ACCV
1998
Springer
13 years 8 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
AAAI
1993
13 years 5 months ago
Learning Object Models from Appearance
We address the problem of automatically learning object models for recognition and pose estimation. In contrast to the traditional approach, we formulate the recognition problem a...
Hiroshi Murase, Shree K. Nayar
PAMI
2007
184views more  PAMI 2007»
13 years 4 months ago
Appearance Characterization of Linear Lambertian Objects, Generalized Photometric Stereo, and Illumination-Invariant Face Recogn
Traditional photometric stereo algorithms employ a Lambertian reflectance model with a varying albedo field and involve the appearance of only one object. In this paper, we gene...
Shaohua Kevin Zhou, Gaurav Aggarwal, Rama Chellapp...
CIVR
2003
Springer
269views Image Analysis» more  CIVR 2003»
13 years 9 months ago
HPAT Indexing for Fast Object/Scene Recognition Based on Local Appearance
Abstract. The paper describes a fast system for appearance based image recognition . It uses local invariant descriptors and efficient nearest neighbor search. First, local affine ...
Hao Shao, Tomás Svoboda, Tinne Tuytelaars, ...
ICPR
2010
IEEE
13 years 7 months ago
Natural Material Recognition with Illumination Invariant Textural Features
Abstract—A visual appearance of natural materials fundamentally depends on illumination conditions, which significantly complicates a real scene analysis. We propose textural fe...
Pavel Vacha, Michael Haindl