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» Face Recognition Based on 2D and 3D Features
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VIS
2007
IEEE
239views Visualization» more  VIS 2007»
15 years 11 months ago
Moment Invariants for the Analysis of 2D Flow Fields
We present a novel approach for analyzing two-dimensional (2D) flow field data based on the idea of invariant moments. Moment invariants have traditionally been used in computer vi...
Michael Schlemmer, Manuel Heringer, Florian Morr...
IASTEDSE
2004
14 years 11 months ago
Mobile, on demand access of service-annotated 3D maps
The ever-increasing capabilities (processing power, memory, connectivity, display, etc.) of personal devices such as PDAs and mobile phones, as well as their convergence, have ena...
Michael Przybilski, Stefano Campadello, Titos Sari...
CIARP
2003
Springer
15 years 3 months ago
3D Rigid Facial Motion Estimation from Disparity Maps
This paper proposes an approach to estimate 3D rigid facial motions through a stereo image sequence. The approach uses a disparity space as the main space in order to represent all...
Nicolas Pérez de la Blanca, José M. ...
AVSS
2007
IEEE
15 years 4 months ago
Sign language detection using 3D visual cues
A 3D visual hand gesture recognition method is proposed that detects correctly performed signs from stereo camera input. Hand tracking is based on skin detection with an adaptive ...
Jeroen Lichtenauer, Gineke A. ten Holt, Emile A. H...
ACCV
1998
Springer
15 years 2 months ago
Learning Multiscale Image Models of 2D Object Classes
This paper isconcerned with learning the canonical gray scalestructure of the images of a classof objects. Structure is defined in terms of the geometry and layout of salientimage...
Benoit Perrin, Narendra Ahuja, Narayan Srinivasa