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Relevant bibliographies by topics / Graduated nonconvexity

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Journal articles
Dissertations / Theses
Books
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Academic literature on the topic 'Graduated nonconvexity'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Graduated nonconvexity"

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Nielsen, M. "Graduated nonconvexity by functional focusing." IEEE Transactions on Pattern Analysis and Machine Intelligence 19, no. 5 (1997): 521–25. http://dx.doi.org/10.1109/34.589213.

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Yang, Xu, Zhi-Yong Liu, Hong Qiao, et al. "Graph-Based Registration and Blending for Undersea Image Stitching." Robotica 38, no. 3 (2019): 396–409. http://dx.doi.org/10.1017/s0263574719000699.

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SummaryImage stitching is important for the perception and manipulation of undersea robots. In spite of a well-developed technique, it is still challenging for undersea images because of their inevitable appearance ambiguity caused by the limited light in the undersea environment, and local disturbance caused by moving objects, ocean current, etc. To get a clean and stable background panorama in the undersea environment, this paper proposes an undersea image-stitching method by introducing graph-based registration and blending procedures. Specifically, in the registration procedure, matching t

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Dissertations / Theses on the topic "Graduated nonconvexity"

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Lumsdaine, A., J. L. Jr Wyatt, and I. M. Elfadel. "Nonlinear Analog Networks for Image Smoothing and Segmentation." 1991. http://hdl.handle.net/1721.1/5983.

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Image smoothing and segmentation algorithms are frequently formulatedsas optimization problems. Linear and nonlinear (reciprocal) resistivesnetworks have solutions characterized by an extremum principle. Thus,sappropriately designed networks can automatically solve certainssmoothing and segmentation problems in robot vision. This papersconsiders switched linear resistive networks and nonlinear resistivesnetworks for such tasks. The latter network type is derived from thesformer via an intermediate stochastic formulation, and a new resultsrelating the solution sets of the two is g

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Books on the topic "Graduated nonconvexity"

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Kashko, Alex. A parallel approach to graduated nonconvexivity on an SIMD machine. Queen Mary College, Department of Computer Science and Statistics., 1988.

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Book chapters on the topic "Graduated nonconvexity"

1

González, Ana I., Alicia D’Anjou, M. Teresa García-Sebastian, and Manuel Graña. "SOM and Neural Gas as Graduated Nonconvexity Algorithms." In Computational Science and Its Applications - ICCSA 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11751595_120.

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Conference papers on the topic "Graduated nonconvexity"

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Tang, Zhipeng, Peng Wang, Hong Qiao, Zhiyong Liu, and Jing Tao. "Assembly Sequence Planning based on Graduated NonConvexity and Concavity Procedure." In 2014 11th World Congress on Intelligent Control and Automation (WCICA). IEEE, 2014. http://dx.doi.org/10.1109/wcica.2014.7053550.

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Gueler, Sadiye, and Haluk Derin. "Boundary detection in textured images using constrained graduated nonconvexity method." In Robotics - DL tentative, edited by David P. Casasent. SPIE, 1992. http://dx.doi.org/10.1117/12.57065.

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