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Informationen zum Autor Shimon Ullman is Samy and Ruth Cohn Professor of Computer Science at Weizmann Institute of Science! Rehovot! Israel. Klappentext Shimon Ullman focuses on the processes of high-level vision that deal with the interpretation and use of what is seen in the image. Zusammenfassung Shimon Ullman focuses on the processes of high-level vision that deal with the interpretation and use of what is seen in the image. Inhaltsverzeichnis 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. ...
