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» Using Photometric Invariants for 3D Object Recognition
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IBPRIA
2005
Springer
15 years 5 months ago
Illumination Intensity, Object Geometry and Highlights Invariance in Multispectral Imaging
It is well-known that image pixel values of an object could vary if the lighting conditions change. Some common factors that produce changes in the pixels values are due to the vie...
Raúl Montoliu, Filiberto Pla, Arnoud C. Kla...
IBPRIA
2007
Springer
15 years 6 months ago
Extracting Average Shapes from Occluded Non-rigid Motion
This paper presents a method to efficiently estimate average 3-D shapes from non-rigid motion in the case of missing data. Such a shape can be further used to accomplish full reco...
Alessio Del Bue
ICCV
2009
IEEE
1821views Computer Vision» more  ICCV 2009»
16 years 4 months ago
Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local ...
Minsu Cho (Seoul National University), Jungmin Lee...
ICPR
2006
IEEE
16 years 29 days ago
Perspective Symmetry Invariant and Its Applications
Face is a perceptually symmetric object; however, it often appears not so in captured image due to the rotation in depth within the 3D space. In this paper, we explore the invaria...
Shuicheng Yan, Tianqiang Yuan, Xiaoou Tang
CVPR
2009
IEEE
1561views Computer Vision» more  CVPR 2009»
16 years 7 months ago
SURFTrac: Efficient Tracking and Continuous Object Recognition using Local Feature Descriptors
We present an efficient algorithm for continuous image recognition and feature descriptor tracking in video which operates by reducing the search space of possible interest poin...
Duy-Nguyen Ta (Georgia Institute of Technology), W...