Results 11 to 20 of about 1,822 (166)

Dual-state six-channel polarization multiplexing in reconfigurable metasurfaces. [PDF]

open access: yesNanophotonics
Abstract Dynamically tunable metasurfaces based on phase‐change materials (PCMs) have become important platforms for realizing reconfigurable optical systems. Nevertheless, achieving multiple independent functionalities within a single device, particularly under polarization multiplexing, remains difficult due to limited design flexibility.
Xie S   +10 more
europepmc   +2 more sources

Temporally Consistent Superpixels [PDF]

open access: yes2013 IEEE International Conference on Computer Vision, 2013
Super pixel algorithms represent a very useful and increasingly popular preprocessing step for a wide range of computer vision applications, as they offer the potential to boost efficiency and effectiveness. In this regards, this paper presents a highly competitive approach for temporally consistent super pixels for video content. The approach is based
Reso M.   +3 more
openaire   +2 more sources

Dynamic spectral residual superpixels [PDF]

open access: yesPattern Recognition, 2021
We consider the problem of segmenting an image into superpixels in the context of $k$-means clustering, in which we wish to decompose an image into local, homogeneous regions corresponding to the underlying objects. Our novel approach builds upon the widely used Simple Linear Iterative Clustering (SLIC), and incorporate a measure of objects' structure ...
Zhang, Jianchao   +5 more
openaire   +2 more sources

Robust Superpixel Tracking [PDF]

open access: yesIEEE Transactions on Image Processing, 2014
While numerous algorithms have been proposed for object tracking with demonstrated success, it remains a challenging problem for a tracker to handle large appearance change due to factors such as scale, motion, shape deformation, and occlusion. One of the main reasons is the lack of effective image representation schemes to account for appearance ...
Yang, Fan, Lu, Huchuan, Yang, Ming-Hsuan
openaire   +2 more sources

Hybrid superpixel segmentation [PDF]

open access: yes2015 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2015
Superpixel over-segment image into meaningful clusters so that pixels in each cluster belong to one object. Many state-of-art superpixel algorithms have to make trade-offs between different concerns. As a result, algorithms that can produce good result in some situations fail in another.
Yu, Y, Lai, S, Liu, Y, Du, T
openaire   +2 more sources

Rooted Spanning Superpixels [PDF]

open access: yesInternational Journal of Computer Vision, 2020
AbstractThis paper proposes a new approach for superpixel segmentation. It is formulated as finding a rooted spanning forest of a graph with respect to some roots and a path-cost function. The underlying graph represents an image, the roots serve as seeds for segmentation, each pixel is connected to one seed via a path, the path-cost function measures ...
openaire   +1 more source

Self-Adaptive Superpixels Based on Neural Network Models

open access: yesIEEE Access, 2020
In this paper, the self-adaptive superpixels are generated based on a neural network model. Superpixels are clusters of pixels, which can simplify the expression of images. Superpixels are widely used in the field of video/image processing.
Xiuxiu Bai, Cong Wang, Zhiqiang Tian
doaj   +1 more source

Optimized method for segmentation of ancient mural images based on superpixel algorithm

open access: yesFrontiers in Neuroscience, 2022
High-precision segmentation of ancient mural images is the foundation of their digital virtual restoration. However, the complexity of the color appearance of ancient murals makes it difficult to achieve high-precision segmentation when using traditional
Jinxing Liang   +10 more
doaj   +1 more source

Superpixel Embedding Network

open access: yesIEEE Transactions on Image Processing, 2020
Superpixel segmentation is a fundamental computer vision technique that finds application in a multitude of high level computer vision tasks. Most state-of-the-art superpixel segmentation methods are unsupervised in nature and thus cannot fully utilize frequently occurring texture patterns or incorporate multiscale context.
Utkarsh Gaur, B. S. Manjunath
openaire   +5 more sources

Infrared Image Superpixel Segmentation Based on Seed Strategy of Contour Encoding

open access: yesApplied Sciences, 2022
Superpixel segmentation has become a crucial pre-processing tool to reduce computation in many computer vision applications. In this paper, a superpixel extraction algorithm based on a seed strategy of contour encoding (SSCE) for infrared images is ...
Weihua Li   +3 more
doaj   +1 more source

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