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» Learning 3-D object orientation from images
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ICPR
2006
IEEE
15 years 11 months ago
Euclidean Reconstruction of Deformable Structure Using a Perspective Camera with Varying Intrinsic Parameters
In this paper we present a novel approach for the 3D Euclidean reconstruction of deformable objects observed by a perspective camera with variable intrinsic parameters. We formula...
Alessio Del Bue, Lourdes de Agapito, Xavier Llad&o...
ECCV
2006
Springer
15 years 11 months ago
Learning to Detect Objects of Many Classes Using Binary Classifiers
Viola and Jones [VJ] demonstrate that cascade classification methods can successfully detect objects belonging to a single class, such as faces. Detecting and identifying objects t...
Ramana Isukapalli, Ahmed M. Elgammal, Russell Grei...
TIP
1998
456views more  TIP 1998»
13 years 6 months ago
Snakes, Shapes, and Gradient Vector Flow
Snakes, or active contours, are used extensively in computer vision and image processing applications, particularly to locate object boundaries. Problems associated with initiali...
Chenyang Xu, Jerry L. Prince
SCIA
2005
Springer
174views Image Analysis» more  SCIA 2005»
15 years 3 months ago
Object Localization with Boosting and Weak Supervision for Generic Object Recognition
Abstract. This paper deals, for the first time, with an analysis of localization capabilities of weakly supervised categorization systems. Most existing categorization approaches ...
Andreas Opelt, Axel Pinz
CVPR
2008
IEEE
15 years 12 months ago
Extrinsic and depth calibration of ToF-cameras
Recently, ToF-cameras have attracted attention because of their ability to generate a full 21 2 D depth image at video frame rates. Thus, ToF-cameras are suitable for real-time 3D...
Stefan Fuchs, Gerd Hirzinger