Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
In this paper, we propose a 3D shape co-segmentation method, which divides 3D shapes in the same category into consistent feature… 
2017
2017
In this paper, we present a novel method for constrained cluster size signed spectral clustering which allows us to subdivide… 
2016
2016
In this paper a super pixel segmentation algorithm called Linear Spectral Clustering (LSC), which produces compact and uniform… 
2013
2013
These are notes on the method of normalized graph cuts and its applications to graph clustering. I provide a fairly thorough… 
2012
2012
Abstract —Image segmentation is the basis of image processing and image analysis. However, there are no common method that can be… 
2012
2012
Image segmentation techniques have been widely applied in diagnosis systems with medical image support. In this paper we propose… 
2008
2008
In the light of dense depth map estimation, motion estimation and object segmentation, the research on multi-view video (MW… 
2008
2008
Motion capture devices have been utilized in producing several contents, such as movies and video games. However, since motion… 
2007
2007
This paper deals with the segmentation of images of suburban scenes with the normalized cut algorithm. The segmentation results… 
2001
2001
The goal of pre-attentive segmentation is to mark conspicuous image locations such as region boundaries, smooth contours and…