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Segmentation-based object categorization

Known as: Segmentation based object categorization 
The image segmentation problem is concerned with partitioning an image into multiple regions according to some homogeneity criterion. This article is… 
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Related topics

Related topics

10 relations
Bag-of-words model in computer visionLOBPCGLanczos algorithmMatrix-free methods

Broader (1)

Image segmentation

Papers overview

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2016
2016
Parcellating Whole Brain for Individuals by Simple Linear Iterative Clustering
This paper utilizes a supervoxel method called simple linear iterative clustering (SLIC) to parcellate whole brain into… 
Highly Cited
2014
Highly Cited
2014
Multiscale Combinatorial Grouping
We propose a unified approach for bottom-up hierarchical image segmentation and object candidate generation for recognition… 
Highly Cited
2013
Highly Cited
2013
Robust Matrix Factorization with Unknown Noise
Many problems in computer vision can be posed as recovering a low-dimensional subspace from high-dimensional visual data… 
2012
2012
Digital mammogram segmentation based on normalized cuts
Breast cancer is a serious diseases, mammography can effectively help its early diagnosis and treatment. As mammograms are… 
Highly Cited
2008
Highly Cited
2008
Multifocus image fusion using region segmentation and spatial frequency
Highly Cited
2007
Highly Cited
2007
A Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis
  • Saad AliM. Shah
  • IEEE Conference on Computer Vision and Pattern…
  • 2007
  • Corpus ID: 8190391
This paper proposes a framework in which Lagrangian particle dynamics is used for the segmentation of high density crowd flows… 
Highly Cited
2005
Highly Cited
2005
A Vision Algorithm for Dynamic Detection of Moving Vehicles with a UAV
This paper presents a vision system for road traffic surveillance from sequences acquired from an unmanned aerial vehicle (UAV… 
Highly Cited
2004
Highly Cited
2004
Contour and Texture Analysis for Image Segmentation
This paper provides an algorithm for partitioning grayscale images into disjoint regions of coherent brightness and texture… 
Highly Cited
2004
Highly Cited
2004
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space… 
Highly Cited
1998
Highly Cited
1998
Motion segmentation and tracking using normalized cuts
We propose a motion segmentation algorithm that aims to break a scene into its most prominent moving groups. A weighted graph is… 
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