Results 191 to 200 of about 3,600 (211)
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Globally Measuring the Similarity of Superpixels by Binary Edge Maps for Superpixel Clustering
IEEE Transactions on Circuits and Systems for Video Technology, 2018This paper proposes an edge-based superpixel similarity measurement, which globally evaluates the similarity between superpixels by binary edge maps. The basic idea is to assess whether the superpixels are surrounded by the same edges. To this end, we first describe the edge spatial distributions by directional regions and then use the directional ...
Fanman Meng +5 more
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Object detection by labeling superpixels
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015Object detection is often conducted by object proposal generation and classification sequentially. This paper handles object detection in a superpixel oriented manner instead of the proposal oriented. Specially, this paper takes object detection as a multi-label superpixel labeling problem by minimizing an energy function. It uses the data cost term to
Junjie Yan +4 more
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Superpixels by Bilateral Geodesic Distance
IEEE Transactions on Circuits and Systems for Video Technology, 2017We present a novel superpixel generation algorithm based on a new definition of geodesic distance, called bilateral geodesic distance. In contrast to the traditional geodesic distance, the new bilateral geodesic distance of two pixels considers the distance between their positions as well as their color difference.
Yuanfeng Zhou +4 more
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Haze removal on superpixel domain
2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2013Haze and fog cause poor visibility for vision sensor, and make computer vision problems challenging. In this paper, we propose a new de-hazing method for single image on super-pixel domain. One of widely used approaches for de-hazing is to introduce dark channel prior.
Sang-Woo Noh, Byungtae Ahn, In-So Kweon
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Cluster Sensing Superpixel and Grouping
2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2016Superpixel algorithms have shown significant potential in computer vision applications since they can be used to accelerate other computationally demanding algorithms. However, in contrast to the original purpose of superpixels, many upper layer methods still suffer from computational problems when incorporating superpixel for speedup.
Rui Li 0054, Lu Fang 0001
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A generative superpixel method.
2014Superpixel methods have become popular in recent years as they provide an efficient preprocessing tool for a manifold of computer vision applications. In this work, we propose a method based on a self-adapting and self-growing network, which is bred starting from two random initialization seeds in the image.
MORERIO, PIETRO +2 more
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2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008
Alastair Philip Moore +4 more
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Alastair Philip Moore +4 more
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Weakly-supervised action localization based on seed superpixels
Multimedia Tools and Applications, 2020, Naeem Bhatti, Tehreem Qasim
exaly

