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    Book

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    Chapter

    Conclusions and Future Research

    Several artificial neural networks were presented and applied to computer vision problems such as static and motion stereo, computation of optical flow, and image restoration. To ensure quick convergence of th...

    Yi-Tong Zhou, Rama Chellappa in Artificial Neural Networks for Computer Vision (1992)

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    Chapter

    Introduction

    This book is concerned with develo** algorithms for some important computer vision problems, especially at a low-level using artificial neural networks. The task of low-level vision is to recover physical pr...

    Yi-Tong Zhou, Rama Chellappa in Artificial Neural Networks for Computer Vision (1992)

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    Chapter

    Motion Stereo—Longitudinal Motion

    Longitudinal motion stereo sinfers depth information from a forward or backward motion, and consequently is particularly useful in autonomous robot navigation applications. Most existing algorithms have some p...

    Yi-Tong Zhou, Rama Chellappa in Artificial Neural Networks for Computer Vision (1992)

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    Chapter

    Computational Neural Networks

    Research on neural network modeling has a long history. Neurobiologists have discovered individual nerve cells existing in the brain and learned how neurons carry information, transmit information, and respond...

    Yi-Tong Zhou, Rama Chellappa in Artificial Neural Networks for Computer Vision (1992)

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    Chapter

    Motion Stereo—Lateral Motion

    Motion stereo is a method for deriving depth information from either a moving camera or objects moving through a stationary three-dimensional environment. In accordance with the nature of motion, motion stereo...

    Yi-Tong Zhou, Rama Chellappa in Artificial Neural Networks for Computer Vision (1992)

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    Chapter

    Computation of Optical Flow

    Optical flow is the distribution of apparent velocities of moving brightness patterns in an image. Ideally the optical flow corresponds to the motion field, but this is not always true [Hor86]. It is common to...

    Yi-Tong Zhou, Rama Chellappa in Artificial Neural Networks for Computer Vision (1992)

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    Chapter

    Static Stereo

    Recovering depth is a central problem in three-dimensional perception. Static stereo is a primary means for recovering depth from two images taken from different viewpoints. As early as 1838, Sir Charles Wheat...

    Yi-Tong Zhou, Rama Chellappa in Artificial Neural Networks for Computer Vision (1992)

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    Chapter

    Image Restoration

    Restoration of a high quality image from a degraded recording is an important problem in early vision processing. Image usually refers to a two-dimensional light intensity function x(a, b). Since light intensity ...

    Yi-Tong Zhou, Rama Chellappa in Artificial Neural Networks for Computer Vision (1992)

  10. Article

    Open Access

    Dual-phase nanostructuring of layered metal oxides for high-performance aqueous rechargeable potassium ion microbatteries

    Aqueous rechargeable microbatteries are promising on-chip micropower sources for a wide variety of miniaturized electronics. However, their development is plagued by state-of-the-art electrode materials due to...

    Ying-Qi Li, Hang Shi, Sheng-Bo Wang, Yi-Tong Zhou, Zi Wen in Nature Communications (2019)

  11. Article

    Open Access

    Spontaneously separated intermetallic Co3Mo from nanoporous copper as versatile electrocatalysts for highly efficient water splitting

    Develo** robust nonprecious electrocatalysts towards hydrogen/oxygen evolution reactions is crucial for widespread use of electrochemical water splitting in hydrogen production. Here, we report that intermet...

    Hang Shi, Yi-Tong Zhou, Rui-Qi Yao, Wu-Bin Wan, **n Ge, Wei Zhang in Nature Communications (2020)

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    Article

    Biosafety assessments of hexafluoropropylene trimer derivative as a fluorinated cooling fluid for electronics

    The Internet Data Center (IDC) is one of the most important infrastructures in the field of information technology. The cooling system for heat dissipation of IDC is indispensable due to it generates a large a...

    Yi-Tong Zhou, Pei-Jie Zhang, Shu-** Wang, Chang-Hao Li in Toxicological Research (2024)