This book presents image-matching techniques for recognizing 3D objects in flat, overlapping scenes viewed at unknown angles. The described methods yield efficient matching algorithms for affine perspective transformations, and are applicable to a wide range of objects and viewpoints. The author provides both theoretical discussions and practical, real-life experimental results of the algorithms, addressing issues such as occlusion and partial overlap. Matching algorithms for points, lines, and curves are presented, with a particular emphasis on developing new techniques for curve matching. This book contributes to the field of computer object recognition, offering new insights into the techniques that make object recognition possible in complex, real-world situations.
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