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144
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TIP
2008
125views more  TIP 2008»
15 years 3 months ago
Segmentation by Fusion of Histogram-Based K-Means Clusters in Different Color Spaces
Abstract--This paper presents a new, simple, and efficient segmentation approach, based on a fusion procedure which aims at combining several segmentation maps associated to simple...
Max Mignotte
125
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IVC
2007
107views more  IVC 2007»
15 years 3 months ago
A review of recent range image registration methods with accuracy evaluation
The three-dimensional reconstruction of real objects is an important topic in computer vision. Most of the acquisition systems are limited to reconstruct a partial view of the obj...
Joaquim Salvi, Carles Matabosch, David Fofi, Josep...
CACM
2005
57views more  CACM 2005»
15 years 3 months ago
Photosensing wireless tags for geometric procedures
Radio frequency tags allow objects to become self-describing, communicating their identity to a close at hand RF reader. Our goal is to build a radio frequency identity and geomet...
Ramesh Raskar, Paul A. Beardsley, Paul H. Dietz, J...
132
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JEI
2007
199views more  JEI 2007»
15 years 3 months ago
New benchmark for image segmentation evaluation
Image segmentation and its performance evaluation are very difficult but important problems in computer vision. A major challenge in segmentation evaluation comes from the fundame...
Feng Ge, Song Wang, Tiecheng Liu
157
Voted
JGAA
2007
135views more  JGAA 2007»
15 years 3 months ago
Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
Graphs are an extremely general and powerful data structure. In pattern recognition and computer vision, graphs are used to represent patterns to be recognized or classified. Det...
Donatello Conte, Pasquale Foggia, Mario Vento
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