The Experts below are selected from a list of 205389 Experts worldwide ranked by ideXlab platform
Suman Gunasekaran - One of the best experts on this subject based on the ideXlab platform.
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Computer Vision Systems
Nondestructive Evaluation of Food Quality, 2010Co-Authors: Suman GunasekaranAbstract:Food quality is of paramount consideration for all consumers, and its importance is perhaps only second to food safety. By some definition, food safety is also incorporated into the broad categorization of food quality. Hence, the need for careful and accurate evaluation of food quality is at the forefront of research and development both in the academia and industry. Among the many available methods for food quality evaluation, Computer Vision has proven to be the most powerful, especially for nondestructively extracting and quantifying many features that have direct relevance to food quality assessment and control. Furthermore, Computer Vision systems serve to rapidly evaluate the most readily observable foods quality attributes – the external characteristics such as color, shape, size, surface texture etc. In addition, it is now possible, using advanced Computer Vision technologies, to “see” inside a food product and/or package to examine important quality attributes ordinarily unavailable to human evaluators. With rapid advances in electronic hardware and other associated imaging technologies, the cost-effectiveness and speed of Computer Vision systems have greatly improved and many practical systems are already in place in the food industry.
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Computer Vision technology for food quality assurance
Trends in Food Science & Technology, 1996Co-Authors: Suman GunasekaranAbstract:Computer Vision systems are being used increasingly in the food industry for quality assurance purposes. Essentially, such systems replace human inspectors for the evaluation of a variety of quality attributes of raw and prepared foods. Over the past few years, the explosive growth in both Computer hardware and software has led to many significant advances in Computer Vision technology. Computer Vision applications range from routine inspection to complex Vision-guided robotic controls. Computer Vision technology provides a high level of flexibility and repeatability at relatively low cost. It also permits fairly high plant throughput without compromising accuracy. Currently, Computer Vision systems are being developed as an integral part of food processing plants for on-line, real-time quality evaluation and quality control.
Stephane Herbin - One of the best experts on this subject based on the ideXlab platform.
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Practical scheduling of Computer Vision functions
2017Co-Authors: Adrien Chan-hon-tong, Stephane HerbinAbstract:Practical scheduler in Computer Vision context could boost the development of robotic platform embedding large variety of Computer Vision functions (like image classifier). In this paper, we make a step toward such scheduler. More precisely, we offer a scheduling framework for image classification whose relevancy is clearly established by experimentation on real life Computer Vision dataset and scenarios.
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Practical scheduling of Computer Vision functions
2016Co-Authors: Adrien Chan-hon-tong, Stephane HerbinAbstract:Practical scheduler in Computer Vision context could boost the development of robotic platform embedding large variety of Computer Vision functions (like image classifier). In this paper, we make a step toward such scheduler. More precisely, we offer a scheduling framework for image classification whose relevancy is clearly established by experimentation on real life Computer Vision dataset and scenarios. a revised version of this document has been published: see 10.5220/0006086303470352
Shrabanee Mitra - One of the best experts on this subject based on the ideXlab platform.
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Computer Vision syndrome: A review
Survey of Ophthalmology, 2005Co-Authors: Clayton Blehm, Seema Vishnu, Ashbala Khattak, Shrabanee MitraAbstract:As Computers become part of our everyday life, more and more people are experiencing a variety of ocular symptoms related to Computer use. These include eyestrain, tired eyes, irritation, redness, blurred Vision, and double Vision, collectively referred to as Computer Vision syndrome. This article describes both the characteristics and treatment modalities that are available at this time. Computer Vision syndrome symptoms may be the cause of ocular (ocular-surface abnormalities or accommodative spasms) and/or extraocular (ergonomic) etiologies. However, the major contributor to Computer Vision syndrome symptoms by far appears to be dry eye. The visual effects of various display characteristics such as lighting, glare, display quality, refresh rates, and radiation are also discussed. Treatment requires a multidirectional approach combining ocular therapy with adjustment of the workstation. Proper lighting, anti-glare filters, ergonomic positioning of Computer monitor and regular work breaks may help improve visual comfort. Lubricating eye drops and special Computer glasses help relieve ocular surface-related symptoms. More work needs to be done to specifically define the processes that cause Computer Vision syndrome and to develop and improve effective treatments that successfully address these causes.
Clayton Blehm - One of the best experts on this subject based on the ideXlab platform.
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Computer Vision syndrome: A review
Survey of Ophthalmology, 2005Co-Authors: Clayton Blehm, Seema Vishnu, Ashbala Khattak, Shrabanee MitraAbstract:As Computers become part of our everyday life, more and more people are experiencing a variety of ocular symptoms related to Computer use. These include eyestrain, tired eyes, irritation, redness, blurred Vision, and double Vision, collectively referred to as Computer Vision syndrome. This article describes both the characteristics and treatment modalities that are available at this time. Computer Vision syndrome symptoms may be the cause of ocular (ocular-surface abnormalities or accommodative spasms) and/or extraocular (ergonomic) etiologies. However, the major contributor to Computer Vision syndrome symptoms by far appears to be dry eye. The visual effects of various display characteristics such as lighting, glare, display quality, refresh rates, and radiation are also discussed. Treatment requires a multidirectional approach combining ocular therapy with adjustment of the workstation. Proper lighting, anti-glare filters, ergonomic positioning of Computer monitor and regular work breaks may help improve visual comfort. Lubricating eye drops and special Computer glasses help relieve ocular surface-related symptoms. More work needs to be done to specifically define the processes that cause Computer Vision syndrome and to develop and improve effective treatments that successfully address these causes.
Ramesh Raskar - One of the best experts on this subject based on the ideXlab platform.
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Computer Vision on tap
2009 IEEE Conference on Computer Vision and Pattern Recognition CVPR 2009, 2009Co-Authors: Kevin Chiu, Ramesh RaskarAbstract:We demonstrate a concept of Computer Vision as a secure, live service on the Internet. We show a platform to distribute a real time Vision algorithm using simple widely available Web technologies, such as Adobe Flash. We allow a user to access this service without downloading an executable or sharing the image stream with anyone. We support developers to publish without distribution complexity. Finally the platform supports user-permitted aggregation of data for Computer Vision research or analysis. We describe results for a simple distributed motion detection algorithm. We discuss future scenarios for organically extending the horizon of Computer Vision research.
