Shadows are physical phenomena observed in most natural scenes. They can cause many problems in computervision performance. The paper addresses the problem of shadow detection and removal from solo image of natural s...
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ISBN:
(纸本)9783540885160
Shadows are physical phenomena observed in most natural scenes. They can cause many problems in computervision performance. The paper addresses the problem of shadow detection and removal from solo image of natural scenes. Our method is based on Retinex theory which is an image enhancement and illumination compensation model of the lightness and color perception of human vision. The approach proposed here does not use any special prior knowledge and assumptions. The shadow extraction algorithm originates from a simple idea that the human-vision-based Retinex has the natural ability to enhance the shadow region of an image no matter it is penumbrae or umbrae. The penumbrae and umbrae regions will be highlighted if we compare the Retinex-enhanced images with original images. Then through adding smooth light forcibly to shadow edges and introducing shadow edge masks, we reduce the effects of shadow edges in the Retinex enhancement processing. Experiment results validate the approach.
A new cotton recognition method is proposed in this paper. It provides parameters for motion of the manipulator so that it can acquire precise location information of cotton, identify cotton from surroundings correctl...
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ISBN:
(纸本)9780387772523
A new cotton recognition method is proposed in this paper. It provides parameters for motion of the manipulator so that it can acquire precise location information of cotton, identify cotton from surroundings correctly, and accordingly pick up them automatically. This method is based on color subtraction information of different parts of cotton. Furthermore, in order to increase accuracy rate of cotton recognition, dynamic Freeman chain coding is used to remove noise. Experimental results show that the proposed method has good performance for cotton identification.
The proceedings contains 68 papers from the 1st canadian conference on computer and robot vision 2004. The topics discussed include: visual tracking using adaptive appearance models;the extension of statistical face d...
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ISBN:
(纸本)0769521274
The proceedings contains 68 papers from the 1st canadian conference on computer and robot vision 2004. The topics discussed include: visual tracking using adaptive appearance models;the extension of statistical face detection to face tracking;an optical-intertial tracking system for fully-enclosed VR displays;real-time motion tracker for a robotic vision system;Bayesian segmentation supported by neighborhood configurations and unsupervised segmentation of synthetic aperture radar sea ice imagery using MRF models.
Three-dimension positioning and coordinates measuring is the key technique in modern manufacturing, reverse engineering, automation, precision measurement and computer aided surgery. This paper presents a positioning ...
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ISBN:
(纸本)9783540885160
Three-dimension positioning and coordinates measuring is the key technique in modern manufacturing, reverse engineering, automation, precision measurement and computer aided surgery. This paper presents a positioning system based on a planar target and two CCD cameras. The binocular stereo vision measuring principle is proposed. Planar scene geometry and the Direct Reference Plane (DRP) method for the calibrated cameras are discussed. The 3D plane can be reconstructed according to the DRP method and 3D coordinates of the contact head on Planar Target can be directly computed according to rigid geometric transformation. We also develop a new three-step calibration method for matrices and distortion factors of the two cameras using coplanar feature points. Further results of calibrating and measuring are verified experimentally.
The most crucial problem of apple harvesting robot is to get the exact location and the maturity degree of the target. A system of apple maturity discrimination and positioning based on the multi-spectral technology a...
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ISBN:
(纸本)9780387772523
The most crucial problem of apple harvesting robot is to get the exact location and the maturity degree of the target. A system of apple maturity discrimination and positioning based on the multi-spectral technology and laser triangulation ranging principle is researched. Signal transmission, signal reception, signal processing, the CPU processing and several PC components are involved in the system. The distance between the apple and the device was calculated according to principle of triangulation. Ripe red apple, unripe green apple, stems and leaves have different reflectivity to red and infrared beam. The different ratio of red and infrared signal can be used to identify whether an apple is ripe. The. threshold used to judge whether an apple is ripe is an experiential interval, which is acquired by several experiments.
Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries may photocopy beyond the limits of US copyright law, for private use of patrons, those articles in this volume that carr...
Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries may photocopy beyond the limits of US copyright law, for private use of patrons, those articles in this volume that carry a code at the bottom of the first page, provided that the per-copy fee indicated in the code is paid through the Copyright Clearance Center. The papers in this book comprise the proceedings of the meeting mentioned on the cover and title page. They reflect the authors' opinions and, in the interests of timely dissemination, are published as presented and without change. Their inclusion in this publication does not necessarily constitute endorsement by the editors or the Institute of Electrical and Electronics Engineers, Inc.
To perform as desired in a dynamic environment a vision system must adapt to a variety of operating conditions by selecting vision modules, tuning their parameters, and controlling image acquisition. Knowleage-based (...
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ISBN:
(纸本)9780769527864
To perform as desired in a dynamic environment a vision system must adapt to a variety of operating conditions by selecting vision modules, tuning their parameters, and controlling image acquisition. Knowleage-based (KB) controller-agents that reason over explicitly represented knowledge and interact with their environment can be used for this task;however the lack of a unifying methodology and development tools makes KB controllers difficult to create, maintain, and reuse. This paper presents the INVICON toolkit, based on the IndiGolog agent programming language with elements from control theory. It provides a basic methodology, a vision module declaration template, a suite of control components, and support tools for KB controller development. We have evaluated INVICON in two case studies that involved controlling vision-based pose estimation systems. The case studies show that INVICON reduces the effort needed to build. KB controllers for challenging domains and improves their flexibility and robustness.
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