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» Recognizing 3D Objects Using Photometric Invariant
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ICCV
2009
IEEE
16 years 2 months ago
Shape-based Recognition of 3D Point Clouds in Urban Environments
This paper investigates the design of a system for recognizing objects in 3D point clouds of urban environments. The system is decomposed into four steps: locating, segmenting, ...
Aleksey Golovinskiy, Vladimir G. Kim, Thomas Funkh...
CVPR
2009
IEEE
16 years 4 months ago
Visibility Constraints on Features of 3D Objects
To recognize three-dimensional objects it is important to model how their appearances can change due to changes in viewpoint. A key aspect of this involves understanding which o...
Ronen Basri, Pedro F. Felzenszwalb, Ross B. Girshi...
ICCV
2003
IEEE
15 years 2 months ago
Information Theoretic Focal Length Selection for Real-Time Active 3-D Object Tracking
Active object tracking, for example, in surveillance tasks, becomes more and more important these days. Besides the tracking algorithms themselves methodologies have to be develop...
Joachim Denzler, Matthias Zobel, Heinrich Niemann
ECCV
2004
Springer
15 years 11 months ago
Face Recognition from Facial Surface Metric
Recently, a 3D face recognition approach based on geometric invariant signatures, has been proposed. The key idea is a representation of the facial surface, invariant to isometric ...
Alexander M. Bronstein, Michael M. Bronstein, Alon...
CVPR
2009
IEEE
1524views Computer Vision» more  CVPR 2009»
16 years 4 months ago
3D Pose Estimation and Segmentation using Specular Cues
We present a system for fast model-based segmentation and 3D pose estimation of specular objects using appearance based specular features. We use observed (a) specular reflection...
Ju Yong Chang, Ramesh Raskar, Amit K. Agrawal