Robot Vision. Horn, B. MIT Press, January, 1986. 05052
abstract   bibtex   
This book presents a coherent approach to the fast moving field of machine vision,using a consistent notation based on a detailed understanding of the image formation process. Itcovers even the most recent research and will provide a useful and current reference forprofessionals working in the fields of machine vision, image processing, and pattern recognition.Anoutgrowth of the author's course at MIT, Robot Vision presents a solid framework for understandingexisting work and planning future research. Its coverage includes a great deal of material thatimportant to engineers applying machine vision methods in the real world. The chapters on binaryimage processing, for example, help explain and suggest how to improve the many commercial devicesnow available. And the material on photometric stereo and the extended Gaussian image points the wayto what may be the next thrust in commercialization of the results in this area. The many exercisescomplement and extend the material in the text, and an extensive bibliography will serve as a usefulguide to current research.Contents: Image Formation and Image Sensing. Binary Images: GeometricalProperties; Topological Properties. Regions and Image Segmentation. Image Processing: ContinuousImages; Discrete Images. Edges and Edge Finding. Lightness and Color. Reflectance Map: PhotometricStereo Reflectance Map; Shape from Shading. Motion Field and Optical Flow. Photogrammetry andStereo. Pattern Classification. Polyhedral Objects. Extended Gaussian Images. Passive Navigation andStructure from Motion. Picking Parts out of a Bin.Berthold Klaus Paul Horn is Associate Professor,Department of Electrical Engineering and Computer Science, MIT. Robot Vision is included in the MITElectrical Engineering and Computer Science Series.
@book{ horn_robot_1986,
  title = {Robot {Vision}},
  isbn = {9780262081597},
  abstract = {This book presents a coherent approach to the fast moving field of machine vision,using a consistent notation based on a detailed understanding of the image formation process. Itcovers even the most recent research and will provide a useful and current reference forprofessionals working in the fields of machine vision, image processing, and pattern recognition.Anoutgrowth of the author's course at MIT, Robot Vision presents a solid framework for understandingexisting work and planning future research. Its coverage includes a great deal of material thatimportant to engineers applying machine vision methods in the real world. The chapters on binaryimage processing, for example, help explain and suggest how to improve the many commercial devicesnow available. And the material on photometric stereo and the extended Gaussian image points the wayto what may be the next thrust in commercialization of the results in this area. The many exercisescomplement and extend the material in the text, and an extensive bibliography will serve as a usefulguide to current research.Contents: Image Formation and Image Sensing. Binary Images: GeometricalProperties; Topological Properties. Regions and Image Segmentation. Image Processing: ContinuousImages; Discrete Images. Edges and Edge Finding. Lightness and Color. Reflectance Map: PhotometricStereo Reflectance Map; Shape from Shading. Motion Field and Optical Flow. Photogrammetry andStereo. Pattern Classification. Polyhedral Objects. Extended Gaussian Images. Passive Navigation andStructure from Motion. Picking Parts out of a Bin.Berthold Klaus Paul Horn is Associate Professor,Department of Electrical Engineering and Computer Science, MIT. Robot Vision is included in the MITElectrical Engineering and Computer Science Series.},
  language = {en},
  publisher = {MIT Press},
  author = {Horn, Berthold},
  month = {January},
  year = {1986},
  note = {05052}
}

Downloads: 0