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Titlebook: Computer Analysis of Images and Patterns; 17th International C Michael Felsberg,Anders Heyden,Norbert Krüger Conference proceedings 2017 Sp

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书目名称Computer Analysis of Images and Patterns
副标题17th International C
编辑Michael Felsberg,Anders Heyden,Norbert Krüger
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computer Analysis of Images and Patterns; 17th International C Michael Felsberg,Anders Heyden,Norbert Krüger Conference proceedings 2017 Sp
描述The two volume set LNCS 10424 and 10425 constitutes the refereed proceedings of the 17th International Conference on Computer Analysis of Images and Patterns, CAIP 2017, held in Ystad, Sweden, in August 2017. . The 72 papers presented were carefully reviewed and selected from 144 submissions The papers are organized in the following topical sections: Vision for Robotics; Motion and Tracking; Segmentation; Image/Video Indexing and Retrieval; Shape Representation and Analysis; Biomedical Image Analysis; Biometrics; Machine Learning; Image Restoration; and Poster Sessions..
出版日期Conference proceedings 2017
关键词Computer vision; Image segmentation; Object recognition; Image reconstruction; Biomedical image and patt
版次1
doihttps://doi.org/10.1007/978-3-319-64698-5
isbn_softcover978-3-319-64697-8
isbn_ebook978-3-319-64698-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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A New Image Contrast Enhancement Algorithm Using Exposure Fusion Frameworkchniques have been proposed to solve this problem, existing methods inevitably introduce contrast under- and over-enhancement. In this paper, we propose an image contrast enhancement algorithm to provide an accurate contrast enhancement. Specifically, we first design the weight matrix for image fusi
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Quaternionic Flower Pollination Algorithmnamics to machine learning. Though such techniques are suitable for global optimization, they can still be get trapped locally under certain conditions, thus leading to reduced performance. In this work, we propose a quaternionic-based Flower Pollination Algorithm (FPA), which extends standard FPA t
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Parkinson’s Disease Identification Using Restricted Boltzmann Machines in the elderly population. Its main symptoms can not be easily uncorrelated with other illness, being way more difficult to be identified at the early stages. As such, computer-aided tools have been recently used to assist in this task, but the challenge in the automatic identification of Parkinson
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Attention-Based Two-Phase Model for Video Action Detection whole video to make detection decisions, which can not only be time-consuming but also burden the computational models. Instead, we present an attention-based model to perform action detection by watching only a few fragments, which is independent with the video length and can be applied to real-wo
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