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» Array Processing Approach for Object Segmentation in Images
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CVPR
2011
IEEE
12 years 11 months ago
Kernelized Structural SVM Learning for Supervised Object Segmentation
Object segmentation needs to be driven by top-down knowledge to produce semantically meaningful results. In this paper, we propose a supervised segmentation approach that tightly ...
Luca Bertelli, Tianli Yu, Diem Vu, Salih Gokturk
TIP
1998
91views more  TIP 1998»
13 years 7 months ago
A recursive thresholding technique for image segmentation
— In this correspondence, we present a general recursive approach for image segmentation by extending Otsu’s method. The new approach has been implemented in the scope of docum...
Mohamed Cheriet, Joseph N. Said, Ching Y. Suen
PARELEC
2006
IEEE
14 years 1 months ago
Marching Pixels - Using Organic Computing Principles in Embedded Parallel Hardware
We present an organic computing approach for very fast image processing, which we call Marching Pixels (MPs). Using an embedded massively-parallel array of processor elements (PEs...
Marcus Komann, Dietmar Fey
ICPR
2010
IEEE
14 years 2 months ago
A Unified Probabilistic Approach to Feature Matching and Object Segmentation
This paper deals with feature matching and segmentation of common objects in a pair of images, simultaneously. For the feature matching problem, the matching likelihoods of all fea...
Tae Hoon Kim (Seoul National University), Kyoung M...
DAGM
2006
Springer
13 years 11 months ago
Robust Variational Segmentation of 3D Objects from Multiple Views
We propose a probabilistic formulation of 3D segmentation given a series of images from calibrated cameras. Instead of segmenting each image separately in order to build a 3D surfa...
Kalin Kolev, Thomas Brox, Daniel Cremers