Results 141 to 150 of about 1,822 (166)
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Constrained Superpixel Tracking
IEEE Transactions on Cybernetics, 2018In this paper, we propose a constrained graph labeling algorithm for visual tracking where nodes denote superpixels and edges encode the underlying spatial, temporal, and appearance fitness constraints. First, the spatial smoothness constraint, based on a transductive learning method, is enforced to leverage the latent manifold structure in feature ...
Lijun Wang, Huchuan Lu, Ming-Hsuan Yang
openaire +2 more sources
Linear Spectral Clustering Superpixel
IEEE Transactions on Image Processing, 2017In this paper, we present a superpixel segmentation algorithm called linear spectral clustering (LSC), which is capable of producing superpixels with both high boundary adherence and visual compactness for natural images with low computational costs. In LSC, a normalized cuts-based formulation of image segmentation is adopted using a distance metric ...
Jiansheng Chen, Zhengqin Li, Bo Huang
openaire +2 more sources
2011 International Conference on Computer Vision, 2011
While numerous algorithms have been proposed for object tracking with demonstrated success, it remains a challenging problem for a tracker to handle large change in scale, motion, shape deformation with occlusion. One of the main reasons is the lack of effective image representation to account for appearance variation.
null Shu Wang +3 more
openaire +1 more source
While numerous algorithms have been proposed for object tracking with demonstrated success, it remains a challenging problem for a tracker to handle large change in scale, motion, shape deformation with occlusion. One of the main reasons is the lack of effective image representation to account for appearance variation.
null Shu Wang +3 more
openaire +1 more source
2021 International Russian Automation Conference (RusAutoCon), 2021
This paper offers the simplest understanding of superpixels as maximal pixel clusters providing error-free obtaining of a limited sequence of accessible optimal piecewise constant image approximations with the minimum achievable approximation error (total squared error) E for each number of pixel clusters.
openaire +1 more source
This paper offers the simplest understanding of superpixels as maximal pixel clusters providing error-free obtaining of a limited sequence of accessible optimal piecewise constant image approximations with the minimum achievable approximation error (total squared error) E for each number of pixel clusters.
openaire +1 more source
2015 IEEE International Conference on Image Processing (ICIP), 2015
As a pre-processing tool, superpixel algorithms have been popular used in many computer-vision applications. High efficiency is a desired property of superpixel algorithms, especially in real-time vision systems. In this paper, a novel high-efficient superpixel algorithm is developed based on the watershed algorithm, namely the spatial-constrained ...
Zhongwen Hu, Qin Zou, Qingquan Li
openaire +1 more source
As a pre-processing tool, superpixel algorithms have been popular used in many computer-vision applications. High efficiency is a desired property of superpixel algorithms, especially in real-time vision systems. In this paper, a novel high-efficient superpixel algorithm is developed based on the watershed algorithm, namely the spatial-constrained ...
Zhongwen Hu, Qin Zou, Qingquan Li
openaire +1 more source
Differential Evolutionary Superpixel Segmentation
IEEE Transactions on Image Processing, 2018Superpixel segmentation has been of increasing importance in many computer vision applications recently. To handle the problem, most state-of-the-art algorithms either adopt a local color variance model or a local optimization algorithm. This paper develops a new approach, named differential evolutionary superpixels, which is able to optimize the ...
Yue-Jiao Gong, Yicong Zhou
openaire +2 more sources
Content-Adaptive Superpixel Segmentation
IEEE Transactions on Image Processing, 2018Superpixel segmentation targets at grouping pixels in an image into atomic regions whose boundaries align well with the natural object boundaries. This paper first proposes a new feature representation for superpixel segmentation that holistically embraces color, contour, texture, and spatial features.
Xiaolin Xiao, Yicong Zhou, Yue-Jiao Gong
openaire +2 more sources
Vine Spread for Superpixel Segmentation
IEEE Transactions on Image Processing, 2023Superpixel is the over-segmentation region of an image, whose basic units "pixels" have similar properties. Although many popular seeds-based algorithms have been proposed to improve the segmentation quality of superpixels, they still suffer from the seeds initialization problem and the pixel assignment problem.
Pei Zhou, Xuejing Kang, Anlong Ming
openaire +2 more sources
Multifocus image fusion using superpixel segmentation and superpixel-based mean filtering
Applied Optics, 2016To achieve better performance in multifocus image fusion problems, a new regional approach based on superpixels and superpixel-based mean filtering is proposed in this paper. First, a fast and effective segmentation method is adopted to generate the superpixels over a clarity-enhanced average image.
Junwei, Duan +2 more
openaire +2 more sources