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Titlebook: Real-Time Object Measurement and Classification; Anil K. Jain Conference proceedings 1988 Springer-Verlag Berlin Heidelberg 1988 Hardware.

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Feature Extraction Using Structured Light,and an ordinary intensity image. Computational techniques are given for computing the 3-D coordinates of grid points using triangulation and for computing surface normals from 2-D features. An analysis of error and ambiguity is also given for the triangulation procedures. Constraint propagation is s
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A Clustering Approach to texture Classification,f a “proximity function” computed between the pixels. The main result of such approach is that no-histogramming is required in order to perform segmentation. Possibilistic and probabilistic approaches are, also, combined to evaluate the significativity of the computed regions.
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Spatial feature measurements in parallell structures,milarity, homogeneity and normalization are given. In a case study of lowlevel structure classification, involving multiple bandpass filters, the suitability of the framework is tested. The model relies on the classical and widely used multispectral maximum likelihood classification scheme in conjun
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What an Autonomous Robot can Learn About its Environment Starting from Scratch Using Image Sequenceut the physical structure of the scene imaged onto the sensor. Experiments are demonstrated indicating the viability of the method. Moderately generalized models of visual objects are learned automatically and the direction of the moving sensor and the relative depth of the scene is extracted..Some
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Object Identification and Automatic Learning,object learning and development of integrated environments for fast and robust prototyping are strongly suggested as a way of developing integrated test beds for checking new models..A description of a vision based working prototype implemented in Prolog-2 and Padl-2 is presented. Actual and future
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