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» 2LDA: Segmentation for Recognition
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MIR
2004
ACM
105views Multimedia» more  MIR 2004»
14 years 3 months ago
Image recognition for digital libraries
The interpretation of natural scenes, generally so obvious and effortless for humans, still remains a challenge in computer vision. To allow the search of image-based documents i...
Bertrand Le Saux, Giuseppe Amato
MVA
2007
159views Computer Vision» more  MVA 2007»
13 years 12 months ago
Action Recognition of Insects Using Spectral Clustering
We propose a technique to recognize actions of grasshoppers based on spectral clustering. We track the object in 3D and construct features using 3D object movement in segments of ...
Maryam Moslemi Naeini, Greg Dutton, Kristina Rothl...
ACCV
2010
Springer
13 years 5 months ago
Continuous Surface-Point Distributions for 3D Object Pose Estimation and Recognition
We present a 3D, probabilistic object-surface model, along with mechanisms for probabilistically integrating unregistered 2.5D views into the model, and for segmenting model instan...
Renaud Detry, Justus H. Piater
GBRPR
2007
Springer
14 years 4 months ago
Graph-Based Perceptual Segmentation of Stereo Vision 3D Images at Multiple Abstraction Levels
D Images at Multiple Abstraction Levels Rodrigo Moreno∗, Miguel Angel Garcia∗∗ and Domenec Puig∗ (∗)Intelligent Robotics and Computer Vision Group, Rovira i Virgili Unive...
Rodrigo Moreno, Miguel Angel García, Dom&eg...
PRL
2006
124views more  PRL 2006»
13 years 10 months ago
Parameter selection for suppressed fuzzy c-means with an application to MRI segmentation
This paper presents an algorithm, called the modified suppressed fuzzy c-means (MS-FCM), that simultaneously performs clustering and parameter selection for the suppressed fuzzy c...
Wen-Liang Hung, Miin-Shen Yang, De-Hua Chen