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ECCV
2002
Springer
14 years 9 months ago
Class-Specific, Top-Down Segmentation
In this paper we present a novel class-based segmentation method, which is guided by a stored representation of the shape of objects within a general class (such as horse images). ...
Eran Borenstein, Shimon Ullman
SSIAI
2000
IEEE
14 years 3 days ago
Multi-Level Shape Recognition Based on Wavelet-Transform Modulus Maxima
In this paper we propose a new approach to shape recognition based on the wavelet transform modulus maxima. And apply it to the problem of content-based indexing and retrieval of ...
Faouzi Alaya Cheikh, Azhar Quddus, Moncef Gabbouj
TVCG
2008
112views more  TVCG 2008»
13 years 7 months ago
Reconstruction of Cellular Biological Structures from Optical Microscopy Data
Developments in optical microscopy imaging have generated large high-resolution datasets that have spurred medical researchers to conduct investigations into mechanisms of disease,...
Kishore Mosaliganti, Lee Cooper, Richard Sharp, Ra...
ICDAR
2003
IEEE
14 years 1 months ago
Improvement of Matching and Evaluation in Handwritten Numeral Recognition Using Flexible Standard Patterns
The purpose of this study is to develop a flexible matching method for recognizing handwritten numerals based on the statistics of shapes and structures learned from learning sam...
Hirokazu Muramatsu, Takashi Kobayashi, Takahiro Su...
JVCIR
2010
180views more  JVCIR 2010»
13 years 6 months ago
Geometric attraction-driven flow for image segmentation and boundary detection
Noble forces in image segmentation based on active contours models are proposed for capturing objects in the image. Contemplating the common functionality of forces in previous ac...
Jooyoung Hahn, Chang-Ock Lee