Results 141 to 150 of about 2,106 (179)
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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
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Minimum barrier superpixel segmentation
Image and Vision Computing, 2018Abstract Superpixel has become an essential processing unit in many computer vision systems, and superpixel segmentation of images is one of the most important step. In this paper, an efficient superpixel segmentation algorithm was proposed. We introduce a new compact-aware minimum barrier distance for superpixel segmentation (MBS), and a propagation
Yinlin Hu +4 more
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Entropy rate superpixel segmentation
CVPR 2011, 2011We propose a new objective function for superpixel segmentation. This objective function consists of two components: entropy rate of a random walk on a graph and a balancing term. The entropy rate favors formation of compact and homogeneous clusters, while the balancing function encourages clusters with similar sizes.
Ming-Yu Liu 0001 +3 more
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ESNet: An Efficient Framework for Superpixel Segmentation
IEEE Transactions on Circuits and Systems for Video TechnologyTao Ruan, Yao Zhao, Shikui Wei
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Bayesian Adaptive Superpixel Segmentation
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019Superpixels provide a useful intermediate image representation. Existing superpixel methods, however, suffer from at least some of the following drawbacks: 1) topology is handled heuristically; 2) the number of superpixels is either predeļ¬ned or estimated at a prohibitive cost; 3) lack of adaptiveness.
Roy Uziel, Meitar Ronen, Oren Freifeld
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Dynamic Random Walk for Superpixel Segmentation
IEEE Transactions on Image Processing, 2020In this paper, we propose a novel random walk model, called Dynamic Random Walk (DRW), which adds a new type of dynamic node to the original RW model and reduces redundant calculation by limiting the walk range. To solve the seed-lacking problem of the proposed DRW, we redefine the energy function of the original RW and use the first arrival ...
Xuejing Kang, Lei Zhu 0012, Anlong Ming
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Compressive Tracking based on Superpixel Segmentation
Proceedings of the 14th International Conference on Advances in Mobile Computing and Multi Media, 2016The compressive sensing trackers, which utilize a very sparse measurement matrix to capture the targets' appearance model, perform well when the tracked targets are well defined. However, such trackers often run into drifting problems due to the fact that the tracking result is a bounding box which also includes background information, especially in ...
Ting Chen 0004 +4 more
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Scene shape priors for superpixel segmentation
2009 IEEE 12th International Conference on Computer Vision, 2009Unsupervised over-segmentation of an image into super-pixels is a common preprocessing step for image parsing algorithms. Superpixels are used as both regions of support for feature vectors and as a starting point for the final segmentation. In this paper we investigate incorporating a priori information into superpixel segmentations.
Alastair Philip Moore +4 more
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4D Light Field Superpixel and Segmentation
IEEE Transactions on Image Processing, 2020Superpixel segmentation of 2D images has been widely used in many computer vision tasks. Previous algorithms model the color, position, or higher spectral information for segmenting a 2D image. However, limited to the Gaussian imaging principle in a traditional camera, where each pixel is formed by summing lots of light rays from different angles ...
Hao Zhu 0005 +3 more
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Adaptive high-precision superpixel segmentation
Multimedia Tools and Applications, 2018Superpixel as a fundamental processing unit can significantly reduce the computational complexity of subsequent computer vision tasks. In this paper, an Adaptive High-Precision (AHP) superpixel segmentation algorithm is proposed. Three major schemes are proposed in this algorithm.
Xinlin Xie +3 more
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