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» Learning Object Shape: From Drawings to Images
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ICIP
2002
IEEE
14 years 8 months ago
Automatic landmarking for building biological shape models
In this article we present a new method for automatic landmark extraction from the contours of biological specimens. Our ultimate goal is to enable automatic identification of bio...
Yulia Hicks, A. David Marshall, Ralph R. Martin, P...
AADA
2011
12 years 6 months ago
Sparse Template-Based variational Image Segmentation
We introduce a variational approach to image segmentation based on sparse coverings of image domains by shape templates. The objective function combines a data term that achieves ...
Dirk Breitenreicher, Jan Lellmann, Christoph Schn&...
PRL
2007
200views more  PRL 2007»
13 years 6 months ago
Generative learning of visual concepts using multiobjective genetic programming
This paper introduces a novel method of visual learning based on Genetic Programming, which evolves a population of individuals (image analysis programs) that process attributed v...
Krzysztof Krawiec
IJCAI
2001
13 years 8 months ago
From Images to Bodies: Modelling and Exploiting Spatial Occlusion and Motion Parallax
This paper describes the Region Occlusion Calculus (ROC-20), that can be used to model spatial occlusion and the effects of motion parallax of arbitrary shaped objects. ROC-20 ass...
David A. Randell, Mark Witkowski, Murray Shanahan
ICCV
2007
IEEE
14 years 8 months ago
3D object recognition from range images using pyramid matching
Recognition of 3D objects from different viewpoints is a difficult problem. In this paper, we propose a new method to recognize 3D range images by matching local surface descripto...
Xinju Li, Igor Guskov