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… (More)
Wikipedia

Related topics

Related topics

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

Broader (1)

Image segmentation

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
COLOR IMAGE SEGMENTATION BASED ON MEAN SHIFT AND NORMALIZED CUTS
DOI: 10.5281/zenodo.48929 ABSTRACT An approach for Image segmentation is proposed based on mean shift algorithm and normalized… (More)
  • figure 1
  • figure 5
Is this relevant?
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… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • figure 4
Is this relevant?
Highly Cited
2011
Highly Cited
2011
Biased normalized cuts
We present a modification of “Normalized Cuts” to incorporate priors which can be used for constrained image segmentation… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 8
Is this relevant?
Highly Cited
2010
Highly Cited
2010
Discriminative clustering for image co-segmentation
Purely bottom-up, unsupervised segmentation of a single image into foreground and background regions remains a challenging task… (More)
Is this relevant?
Highly Cited
2007
Highly Cited
2007
A Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis
This paper proposes a framework in which Lagrangian particle dynamics is used for the segmentation of high density crowd flows… (More)
Is this relevant?
Highly Cited
2007
Highly Cited
2007
Learning, detection and representation of multi-agent events in videos
In this paper, we model multi-agent events in terms of a temporally varying sequence of sub-events, and propose a novel approach… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2004
Highly Cited
2004
Segmentation given partial grouping constraints
We consider data clustering problems where partial grouping is known a priori. We formulate such biased grouping problems as a… (More)
  • figure 1
  • figure 3
  • figure 2
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2001
Highly Cited
2001
Contour and Texture Analysis for Image Segmentation
This paper provides an algorithm for partitioning grayscale images into disjoint regions of coherent brightness and texture… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
2001
2001
Understanding Popout through Repulsion
Perceptual popout is defined by both feature similarity and local feature contrast. We identify these two measures with… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 2
  • figure 4
Is this relevant?
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. Instead of… (More)
Is this relevant?