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Object interpretation: extending and validating object recognition
Author(s) -
Guy Ben-Yosef,
Liav Assif,
Daniel Harari,
Ethan Fetaya,
Shimon Ullman
Publication year - 2014
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/14.10.1289
Subject(s) - artificial intelligence , cognitive neuroscience of visual object recognition , computer science , pattern recognition (psychology) , object (grammar) , computer vision , set (abstract data type) , class (philosophy) , method , classifier (uml) , identity (music) , feature (linguistics) , 3d single object recognition , maxima and minima , mathematics , object oriented programming , mathematical analysis , linguistics , philosophy , programming language , physics , acoustics
1) Extract image measurements for candidate primitives of type points, contours, and regions 2) Score combinations of primitive candidates by their comparability with learned relations. 3) Select the maximum-score combination as the final interpretation of the object structure. • local intensity extrema • parallelism and continuity between two contours • containment of point feature in region • ‘ends-in’ relation between contour and point/region • Cover of point feature by contour • Segmentation and texture support along contours and between contours The Interpretation process:

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