Results 191 to 200 of about 5,165 (221)
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Weighted superpixel segmentation
The Visual Computer, 2019Image boundaries and regularity are two important factors in superpixel segmentation. Balancing the influence of image boundaries and regularity is key to producing superpixels. In this paper, we present a novel superpixel segmentation algorithm, called weighted superpixel segmentation (WSS), which is capable of generating superpixels with high ...
Xin Qian +2 more
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Benchmarking superpixel descriptors
2015 23rd European Signal Processing Conference (EUSIPCO), 2015Superpixels are useful intermediate representations for many computer vision tasks. While the segmentation step is well studied, the subsequent creation of meaningful descriptors lacks this foundation. Superpixels have similar properties like affine covariant regions (keypoints), but there are fundamental differences that led to a different set of ...
Peer Neubert, Peter Protzel
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Spherical Superpixel Segmentation
IEEE Transactions on Multimedia, 2018These days, superpixel algorithms are widely used in computer vision and multimedia applications. However, existing algorithms are designed for planar images, which are less suited to deal with wide angle images. In this paper, we present a superpixel segmentation method for $\text{360}^\circ$ spherical images.
Qiang Zhao 0005 +5 more
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2013
We propose and evaluate a versatile scheme for image pre-segmentation that generates a partition of the image into a selectable number of patches 'superpixels', under the constraint of obtaining maximum homogeneity of the 'texture' inside of each patch, and maximum accordance of the contours with both the image content as well as a Gibbs-Markov random ...
Christian Conrad +2 more
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We propose and evaluate a versatile scheme for image pre-segmentation that generates a partition of the image into a selectable number of patches 'superpixels', under the constraint of obtaining maximum homogeneity of the 'texture' inside of each patch, and maximum accordance of the contours with both the image content as well as a Gibbs-Markov random ...
Christian Conrad +2 more
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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 +2 more
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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.
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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.
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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 0001 +2 more
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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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