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    TIP
    2008
    116views more  TIP 2008»
    Self-Repelling Snakes for Topology-Preserving Segmentation Models
    14 years 11 months ago
    Self-Repelling Snakes for Topology-Preserving Segmentation Models
    Download  www.math.ucla.edu
    The implicit framework of the level-set method has several advantages when tracking propagating fronts. Indeed, the evolving contour is embedded in a higher dimensional level-set f...
    Carole Le Guyader, Luminita A. Vese
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    TIP
    2008
    125views more  TIP 2008»
    Segmentation by Fusion of Histogram-Based K-Means Clusters in Different Color Spaces
    14 years 11 months ago
    Segmentation by Fusion of Histogram-Based K-Means Clusters in Different Color Spaces
    Download  www.iro.umontreal.ca
    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
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    IVC
    2007
    107views more  IVC 2007»
    A review of recent range image registration methods with accuracy evaluation
    14 years 11 months ago
    A review of recent range image registration methods with accuracy evaluation
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    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...
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    JGAA
    2007
    135views more  JGAA 2007»
    Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
    14 years 11 months ago
    Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
    Download  www.emis.de
    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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    JMM2
    2007
    122views more  JMM2 2007»
    Hierarchical Model-Based Activity Recognition With Automatic Low-Level State Discovery
    14 years 11 months ago
    Hierarchical Model-Based Activity Recognition With Automatic Low-Level State Discovery
    Download  www.academypublisher.com
    Abstract— Activity recognition in video streams is increasingly important for both the computer vision and artificial intelligence communities. Activity recognition has many app...
    Justin Muncaster, Yunqian Ma
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