Titlebook: Exploratory Vision; The Active Eye Michael S. Landy,Laurence T. Maloney,Misha Pavel Book 1996 Springer-Verlag New York, Inc. 1996 Computer

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书目名称Exploratory Vision影响因子(影响力)




书目名称Exploratory Vision影响因子(影响力)学科排名




书目名称Exploratory Vision网络公开度




书目名称Exploratory Vision网络公开度学科排名




书目名称Exploratory Vision被引频次




书目名称Exploratory Vision被引频次学科排名




书目名称Exploratory Vision年度引用




书目名称Exploratory Vision年度引用学科排名




书目名称Exploratory Vision读者反馈




书目名称Exploratory Vision读者反馈学科排名

Meditate

1431-858X eral-purpose ma­ chines that see. These attempts have met with at best modest success and more typically outright failure. The difficulties encountered in building working com­ puter vision systems based on state-of-the-art techniques came as a surprise. Perhaps the most frustrating aspect of the pr

mechanical

Indurate

Henry More and the Scientific Revolution,r, we show that the use of a hemispherical (retinal) imaging surface combined with the active process of fixation generates an optical flow field of a particularly simple form. A further contribution is the finding that the sign of retinal flow at the retinal periphery can be used to predict collisions.

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exhibit

https://doi.org/10.1007/978-3-030-31650-1t cognitive activities, helping ensure that the eye will be directed to objects of current interest with little or no additional effort on the part of the observer. Cognitive control of eye movements, which is so prominent in human beings, may also be a useful principle to apply to the design of robots.

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Henry James‘ Narrative Technique formulated using robust regression methods. The nature of errors in visual signals will be discussed, and a prescription for formulating robust algorithms will be described. To illustrate the concepts, robust methods have been applied to three problems: surface reconstruction, image flow estimation, and dynamic stereo.

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bonnet

Heparanase – Discovery and Targets. In the second system, the task is to pick industrial parts out of a bin. We show how the two tasks were decomposed and analyzed to yield the best match between perceptual capabilities and task requirements. Then, we introduce a general framework for task-based development of vision systems.