Results 141 to 150 of about 4,417 (178)
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CNN state equations for binocular stereo vision
Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94), 2002This paper describes CNN (cellular neural network) state equations to perform direct dynamic halftoning and dynamic depth extraction for binocular stereo visual information. The quantization for the funneling information is done by parallel neurons without the use of multiple bit analog-to-digital converters, and, the correspondence problem can be ...
M. Tanaka, M. Awata, M. Kanaya
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Multi-object Detection Based on Binocular Stereo Vision
2016This paper proposes a new multi-object detection system based on binocular stereo vision. Firstly, we calibrate the two cameras to get intrinsic and extrinsic parameters and transformation matrix of the two cameras. Secondly, stereo rectify and stereo match is done to get a disparity map with image pairs acquired by binocular camera synchronously. Thus
Zhannan He +4 more
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A New Method for Error Analysis of Binocular Stereo Vision System
2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2019BSV (Binocular Stereo Vision) system is a simple and efficient approach for robots. However, a BSV system exists to excessive errors during applications. Under the condition of fixed baseline and focal length, two error factors affecting the binocular vision system are analyzed in this paper: (i) the inclination angle of the binocular camera, and (ii ...
Wenwen Chen +3 more
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Tensor Completion based 3D Reconstruction of Binocular Stereo Vision
2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2019Binocular stereo vision is a common way for 3D reconstruction of objects, which is core technology in the fields of computer-aided geometric design, machine vision and so on. However, the conventional binocular stereo vision algorithms are very sensitive to the ambient lighting, restricting their further promotion.
Zehua Liu +3 more
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Automatic 3D ear reconstruction based on binocular stereo vision
2009 IEEE International Conference on Systems, Man and Cybernetics, 2009This paper presents an automatic 3D ear reconstruction method based on binocular stereo vision. At first, we calibrate the stereo vision system by Zhang's method. Then the quasi-dense matching method is performed. We use SIFT feature based matching approach and the coarse to fine strategy to compute the seed matches.
Hui Zeng 0003 +3 more
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Vehicle Segmentation and Speed Detection Based on Binocular Stereo Vision
2012 Eighth International Conference on Computational Intelligence and Security, 2012Real-time motion detection is a key technology in the intelligent video surveillance and traffic video flow. Widely used methods based on monocular vision are sensitive to light and have problems of black hole and shadow. To solve these problems, we proposed a motion detection method based on binocular vision.
Xin Li +3 more
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Binocular Stereo Vision Synchronous Acquisition Technique Based on FPGA
2010 2nd International Workshop on Database Technology and Applications, 2010This paper proposes a coarse-to-fine two-level synchronous data acquisition and transmission system for binocular stereo vision, which satisfies strict synchronous requirement of stereo vision.Specifically,this synchronization system design contains: the hardware circuit design based coarse level and the hardware description language (HDL) design based
Lili Lin, Wenhui Zhou 0001
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An automatic robot unstacking system based on binocular stereo vision
Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC), 2014Unstacking is a process widely used in many industrial applications. This paper proposes an automatic unstacking system using an industrial robot and stereo vision. To detect a package to be picked, a shape-based matching (SBM) method is applied on 2D images.
Xinjian Fan +3 more
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Computational Vision with Reference to Binocular Stereo Vision
1990Biological and machine vision systems are clearly different at certain levels of analysis (e.g., neuronal vs. silicon-based circuitry). However, it is possible to develop an understanding of vision at a level that is independent of hardware-related issues.
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Research on intelligent cranes with binocular stereo vision
proceedings_titleIn the paper, for the current operating characteristics of an in-use crane control method for lifting nuclear waste, study its binocular Stereo Vision perturbation suppression method based on the self-immunity controller, using an industrial camera to obtain the data in the working area during the operation of the crane, and through the experimental ...
Aihua Pan, Jinglei Ma
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