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» Using Photometric Invariants for 3D Object Recognition
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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...
PAMI
2007
262views more  PAMI 2007»
14 years 9 months ago
An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition
—We present a fully automatic face recognition algorithm and demonstrate its performance on the FRGC v2.0 data. Our algorithm is multimodal (2D and 3D) and performs hybrid (featu...
Ajmal S. Mian, Mohammed Bennamoun, Robyn A. Owens
ICIP
1998
IEEE
15 years 11 months ago
Recognizing Surfaces from 3D Curves
;I general paradigm for recognizing 3D objects is offered, and applied to some geometric primitives [sphe,res, cylinders, cones, and tori). The assumption is that Q curve on the s...
Daniel Keren, Ehud Rivlin, Ilan Shimshoni, Isaac W...
ICCV
2001
IEEE
15 years 11 months ago
Robust Histogram Construction from Color Invariants
An effective object recognition scheme is to represent and match images on the basis of histograms derived from photometric color invariants. A drawback, however, is that certain c...
Theo Gevers
DAGM
2006
Springer
14 years 11 months ago
Phase Based 3D Texture Features
In this paper, we present a novel method for the voxel-wise extraction of rotation and gray-scale invariant features. These features are used for simultaneous segmentation and clas...
Janis Fehr, Hans Burkhardt