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» Learning 3-D object orientation from images
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PAMI
2006
178views more  PAMI 2006»
14 years 9 months ago
Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models
Appearance-based methods, based on statistical models of the pixel values in an image (region) rather than geometrical object models, are increasingly popular in computer vision. I...
Jakob J. Verbeek
TVCG
2010
147views more  TVCG 2010»
14 years 8 months ago
Superquadric Glyphs for Symmetric Second-Order Tensors
—Symmetric second-order tensor fields play a central role in scientific and biomedical studies as well as in image analysis and feature-extraction methods. The utility of displ...
Thomas Schultz, Gordon L. Kindlmann
CLOR
2006
15 years 1 months ago
Dataset Issues in Object Recognition
Appropriate datasets are required at all stages of object recognition research, including learning visual models of object and scene categories, detecting and localizing instances ...
Jean Ponce, Tamara L. Berg, Mark Everingham, David...
EMMCVPR
2005
Springer
15 years 3 months ago
Deformable-Model Based Textured Object Segmentation
Abstract. In this paper, we present a deformable-model based solution for segmenting objects with complex texture patterns of all scales. The external image forces in traditional d...
Xiaolei Huang, Zhen Qian, Rui Huang, Dimitris N. M...
IUI
2004
ACM
15 years 3 months ago
Qualitative physics in virtual environments
In this paper, we describe a new approach to the creation of virtual environments, which uses qualitative physics to implement object behaviour. We adopted Qualitative Process The...
Marc Cavazza, Simon Hartley, Jean-Luc Lugrin, Mika...