Results 51 to 60 of about 312,519 (176)
An Enhanced Deep Feature Representation for Person Re-identification
, 2016 Feature representation and metric learning are two critical components in person re-identification models. In this paper, we focus on the feature representation and claim that hand-crafted histogram features can be complementary to Convolutional Neural ...
Chen, Ying-Cong +5 more
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3M: A Multi-Scale and Multi-Directional Method for Multi-Focus Image Fusion
IEEE Access, 2021 Based on the analysis of the multi-scale-based and sparse representation-based multi-focus image fusion method, we believe that a multi-scale fusion method should consider the directivity of high/low frequency sub-bands and low computational complexity ...
Bingzhe Wei, Xiangchu Feng, Weiwei Wang
doaj +1 more source
Brain Image Fusion using DWT and Laplacian Pyramid Approach and Tumor Detection using Watershed Segmentation [PDF]
, 2016 Image fusion is the process of combining important information from two or more images into a single image. The resulting image will be more enhanced than any of the input pictures.
N, M. P. (Mrs) +1 more
core
Asynchronous displays for multi-UV search tasks [PDF]
, 2012 Synchronous video has long been the preferred mode for controlling remote robots with other modes such as asynchronous control only used when unavoidable as in the case of interplanetary robotics.
Carpin S. +7 more
core +2 more sources
Unsupervised Deep Multi-focus Image Fusion
, 2018 Convolutional neural networks have recently been used for multi-focus image fusion. However, due to the lack of labeled data for supervised training of such networks, existing methods have resorted to adding Gaussian blur in focused images to simulate defocus and generate synthetic training data with ground-truth for supervised learning. Moreover, they
Yan, Xiang +3 more
openaire +2 more sources
A pixel based multi-focus image fusion method
Optics Communications, 2014 Abstract The lenses used in computer vision systems by nature provide limited depth of field, so digital cameras are incapable of acquiring an all-in-focus image of objects at varying distances in a scene. To obtain an all-in-focus image of such scenes from their differently focused images, this paper proposes a novel spatial domain multi focus image
Aslantas, Veysel, Toprak, Ahmet Nusret
openaire +3 more sources
Journal of Advanced Transportation, 2021 The traditional methods for multi-focus image fusion, such as the typical multi-scale geometric analysis theory-based methods, are usually restricted by sparse representation ability and the transferring efficiency of the fusion rules for the captured ...
Lei Wang +5 more
doaj +1 more source
Saturation-based quality assessment for colorful multi-exposure image fusion
International Journal of Advanced Robotic Systems, 2017 Multi-exposure image fusion is becoming increasingly influential in enhancing the quality of experience of consumer electronics. However, until now few works have been conducted on the performance evaluation of multi-exposure image fusion, especially ...
Chenwei Deng +4 more
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Context Aware Multisensor Image Fusion for Military Sensor Networks using Multi Agent System
, 2011 This paper proposes a Context Aware Agent based Military Sensor Network (CAMSN) to form an improved infrastructure for multi-sensor image fusion. It considers contexts driven by a node and sink.
Manvi, Sunilkumar S, Sutagundar, Ashok V
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Learning Deep Context-aware Features over Body and Latent Parts for Person Re-identification
, 2017 Person Re-identification (ReID) is to identify the same person across different cameras. It is a challenging task due to the large variations in person pose, occlusion, background clutter, etc How to extract powerful features is a fundamental problem in ...
Chen, Xiaotang +3 more
core +1 more source