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» A Bag of Features Approach for 3D Shape Retrieval
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107
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ECCV
2008
Springer
15 years 11 months ago
Learning Visual Shape Lexicon for Document Image Content Recognition
Developing effective content recognition methods for diverse imagery continues to challenge computer vision researchers. We present a new approach for document image content catego...
Guangyu Zhu, Xiaodong Yu, Yi Li, David S. Doermann
SIGMOD
2003
ACM
237views Database» more  SIGMOD 2003»
15 years 9 months ago
Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Deok-Hwan Kim, Chin-Wan Chung
MVA
2006
14 years 9 months ago
Fourier-Based Object Description in Defect Image Retrieval
Abstract Image retrieval has nowadays several industrial applications. In these imaging applications, which typically use large image archives, the matter of computational efficien...
Iivari Kunttu, Leena Lepistö, Juhani Rauhamaa...
70
Voted
ICIP
2010
IEEE
14 years 7 months ago
Patch-based reconstruction and rendering of human heads
Reconstructing the 3D shape of human faces is an intensively researched topic. Most approaches aim at generating a closed surface representation of geometry, i.e. a mesh, which is...
David C. Schneider, Anna Hilsmann, Peter Eisert
83
Voted
ECCV
2002
Springer
15 years 11 months ago
Learning Shape from Defocus
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Paolo Favaro, Stefano Soatto