Machine Vision for Inspection and Measurement

Content: 
Editorial Advisory Board, Page ii
Front Matter, Page iii
Copyright, Page iv
Preface, Pages vii-viii, Herbert Freeman
Contributors, Pages ix-x
Pose Estimation from Corresponding Point Data, Pages 1-84, Robert M. Haralick, Hyonam Joo, Chung-nan Lee, Xinhua Zhuang, Vinay G. Vaidya, Man Bae Kim
Connectivity and Spacing Checking with Fine Grained Machines, Pages 85-100, Virginio Cantoni, Marco Ferretti, Massimo Savini
Efficient Depth Recovery through Inverse Optics, Pages 101-126, Muralidhara Subbarao
Motion Estimation from Stereo Sequences, Pages 127-135, T.S. Huang
Photometric Sampling: A Method for Determining Shape and Reflectance of Surfaces, Pages 137-184, Shree K. Nayar, Katsushi Ikeuchi
Precise Measurement of the Curvature of the Human Cornea, Pages 185-201, Richard Mammone
Applied Robot Vision: Combining Workpiece Recognition and Inspection, Pages 203-221, Peter Rummel
Is Industry Ready for Machine Vision?—A Panel Discussion, Pages 223-236, Herbert Freeman, Ming-Yee Chiu, David D. Dreyfuss, Istvan Gorog, Ramesh Jain
Finding and Evaluating Defects in Glass, Pages 237-255, J. Wilder
Machine Vision Techniques for Integrated Circuit Inspection, Pages 257-282, Byron Dom
Machine Vision for Semiconductor Wafer Inspection, Pages 283-314, Ramesh Jain, A. Ravishankar Rao, Ali Kayaalp, Charles Cole
Index, Pages 315-320
Perspectives in Computing, Pages ibc1-ibc2