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派博传思国际中心 »期刊书目

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Titlebook: Active Lighting and Its Application for Computer Vision; 40 Years of History Katsushi Ikeuchi,Yasuyuki Matsushita,Daisuke Miyaz Book 2020

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发表于 2025-3-21 17:39:51 | 显示全部楼层 |阅读模式
期刊全称Active Lighting and Its Application for Computer Vision
期刊简称40 Years of History
影响因子2023Katsushi Ikeuchi,Yasuyuki Matsushita,Daisuke Miyaz
视频videohttp://file.papertrans.cn/145/144226/144226.mp4
发行地址Presents both the basic theory and the state of the art of photometric stereo techniques.Describes structured light techniques in detail, from a computer vision perspective.Explains the principles and
学科分类Advances in Computer Vision and Pattern Recognition
图书封面Titlebook: Active Lighting and Its Application for Computer Vision; 40 Years of History Katsushi Ikeuchi,Yasuyuki Matsushita,Daisuke Miyaz Book 2020
影响因子.This book describes active illumination techniques in computer vision. We can classify computer vision techniques into two classes: passive and active techniques. Passive techniques observe the scene statically and analyse it as is. Active techniques give the scene some actions and try to facilitate the analysis. In particular, active illumination techniques project specific light, for which the characteristics are known beforehand, to a target scene to enable stable and accurate analysis of the scene..Traditional passive techniques have a fundamental limitation. The external world surrounding us is three-dimensional; the image projected on a retina or an imaging device is two-dimensional. That is, reduction of one dimension has occurred. Active illumination techniques compensate for the dimensional reduction by actively controlling the illumination. The demand for reliable vision sensors is rapidly increasing in many application areas, such as robotics and medical image analysis. This book explains this new endeavour to explore the augmentation of reduced dimensions in computer vision..This book consists of three parts: basic concepts, techniques, and applications. The first part
Pindex Book 2020
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https://doi.org/10.1007/978-1-349-15691-7 cues originated with . (Horn in Shape from shading: a method for obtaining the shape of a smooth opaque object from one view. Technical report, 1970, [.], Ikeuchi and Horn in Artif Intell 17(1–3):141–184, 1981, [.]), which aims to estimate a 3D shape from a single image observed under a light sourc
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Darrell Raymond,Derick Wood,Sheng Yue computer vision field, other optical phenomena are used to provide clues for shape reconstruction. In this chapter, shape reconstruction techniques that utilize special optical phenomena (e.g., polarization, fluorescence, cast shadow, and projector defocus) are introduced.
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Lecture Notes in Computer Sciencetics of the target scene and light sources. Because BRDF depends on materials, adequate lighting and analysis provides rich information about those materials. Moreover, multispectral light gives us more robust identification capability. Furthermore, polarization and fluorescence are useful for mater
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Analysis of Reactive Systems with , Timers,l. Thus, a huge amount of sensing technologies have been researched, developed, and commercialized. Among the wide variety of available sensors (e.g., electromagnetic (i.e., MRI), radiation- based (i.e., X-ray), and ultrasound), active-lighting-based techniques have recently drawn a great deal of at
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