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» Describing Visual Scenes Using Transformed Objects and Parts
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ICPR
2004
IEEE
16 years 22 days ago
Online Learning of Color Transformation for Interactive Object Recognition under Various Lighting Conditions
This paper describes an online learning method of color transformation for interactive object recognition. In order to recognize objects under various lighting conditions, the sys...
Nobutaka Shimada, Yasushi Makihara, Yoshiaki Shira...
94
Voted
VISUALIZATION
1999
IEEE
15 years 3 months ago
Time-Critical Multiresolution Scene Rendering
We describe a framework for time-critical rendering of graphics scenes composed of a large number of objects having complex geometric descriptions. Our technique relies upon a sce...
Enrico Gobbetti, Eric Bouvier
ICIP
2007
IEEE
15 years 6 months ago
Skeletonization using SSM of the Distance Transform
This paper proposes a new approach for skeletonization based on the skeleton strength map (SSM) caculated by Euclidean distance transform of a binary image. After the distance tra...
Longin Jan Latecki, Quannan Li, Xiang Bai, Wenyu L...
ECCV
2000
Springer
16 years 1 months ago
Unsupervised Learning of Models for Recognition
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
Markus Weber, Max Welling, Pietro Perona
109
Voted
IJCV
2000
136views more  IJCV 2000»
14 years 11 months ago
A Trainable System for Object Detection
This paper presents a general, trainable system for object detection in unconstrained, cluttered scenes. The system derives much of its power from a representation that describes a...
Constantine Papageorgiou, Tomaso Poggio