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Towards a simple and efficient object-based superpixel delineation framework
Superpixel segmentation methods are widely used in computer vision applications due to
their properties in border delineation. These methods do not usually take into account any …
their properties in border delineation. These methods do not usually take into account any …
Novel arc-cost functions and seed relevance estimations for compact and accurate superpixels
On the verge of superpixel methods exploiting saliency information, the Superpixels through
Iterative CLEarcutting (SICLE) framework has reported fast and accurate superpixel …
Iterative CLEarcutting (SICLE) framework has reported fast and accurate superpixel …
[PDF][PDF] Spherical Superpixel Segmentation with Context Identity and Contour Intensity.
Superpixel segmentation is a popular preprocessing tool in the field of image processing.
Nevertheless, conventional planar superpixel generation algorithms are inadequately suited …
Nevertheless, conventional planar superpixel generation algorithms are inadequately suited …
Fast and accurate superpixel algorithms for 360∘ images
Superpixels are fundamental in many visual computing applications, and most existing
algorithms are designed to work with pinhole-based images. However, immersive …
algorithms are designed to work with pinhole-based images. However, immersive …
Generalization of the shortest path approach for superpixel segmentation of omnidirectional images
With the growing use of image capture devices using wide angles and the need for fast and
accurate image analysis in computer vision, there is a demand for dedicated under …
accurate image analysis in computer vision, there is a demand for dedicated under …
Deep Spherical Superpixels
Over the years, the use of superpixel segmentation has become very popular in various
applications, serving as a preprocessing step to reduce data size by adapting to the content …
applications, serving as a preprocessing step to reduce data size by adapting to the content …
Generalized shortest path-based superpixels for accurate segmentation of spherical images
Most of existing superpixel methods are designed to segment standard planar images as
pre-processing for computer vision pipelines. Nevertheless, the increasing number of …
pre-processing for computer vision pipelines. Nevertheless, the increasing number of …
Superpixel generation by the iterative spanning forest using object information
Superpixel segmentation methods aim to partition the image into homogeneous connected
regions of pixels (ie, superpixels) such that the union of its comprising superpixels precisely …
regions of pixels (ie, superpixels) such that the union of its comprising superpixels precisely …