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|All Authors / Contributors:||
|ISBN:||0262210134 9780262210133 0262710072 9780262710077|
|Description:||xviii, 412 p ill 23 cm|
|Contents:||Object recognition: shape-based recognition; what is recognition? why object recognition is difficult. Approaches to object recognition: invariant properties and feature spaces; parts and structural descriptions; the alignment approach; which is the correct approach?. The alignment of pictorial descriptions: using corresponding features; the use of multiple models for 3-D objects; aligning pictorial descriptions; transforming the image or the models? before and after alignment. The alignment of smooth bounding contours: the curvate method; accuracy of the curvature method; empirical testing. Recognition by the combination of views: modelling objects by view combinations; objects with sharp edges; using two views only; using a single view; the use of depth values; summary of the basic scheme; objects with smooth boundaries; recognition by image combinations; extensions to the view-combination scheme; psychophysical and physiological evidence; interim conclusions: recognition by multiple views. Classifications: classification and identification; the role of object classification; class-based processing; using class prototypes; pictorial classification; evidence from psychology and biology; are classes in the world or in our head? the organization of recognition memory. Image and model correspondence: feature correspondence; contour matching; correspondence-less methods; correspondence processes in human vision; model construction; compensating for illumination changes. Segmentation and saliency: is segmentation feasible? bottom-up and top-down segmentation; extracting globally salient structures; saliency, selection, and completion; what can bottom-up segmentation achieve? Visual cognition and visual routines: perceiving "inside" and "outside"; spatial analysis by visual routines; conclusions and open problems; the elemental operations; the assembly and storage of routines; routines and recognition. Sequence seeking and counter streams - a model for visual cortex: the sequence-seeking scheme; biological embodiment; summary. Appendices: alignment by feature; the curvature method; errors of the curvature method; locally affine matching; definitions.|
|Series Title:||A Bradford book|
"The book is not a review or textbook; it is more an idiosyncratic, personal history of Ullman's own thoughts and contributions to the field. But these contributions are so varied and important, and