Accession Number : ADA258166


Title :   Computational and Neural Network Models for the Analysis of Visual Texture


Descriptive Note : Final rept. 1 Sep 1988-31 Jul 1992


Corporate Author : PENNSYLVANIA UNIV PHILADELPHIA SCHOOL OF ENGINEERING AND APPLIED SCIENCE


Personal Author(s) : Bajcsy, R ; Gerstein, G


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a258166.pdf


Report Date : 13 Oct 1992


Pagination or Media Count : 16


Abstract : The grant supported research efforts in two main research questions: (1) How do we segment and estimate the slant/tilt of natural scenes with highly irregular textures, using both biological and non-biological computing architectures; and (2) How do we design -machine perception and action systems and learning mechanisms that can improve their performance through repeated feedback and interaction with their environment? Section 2 describes the research and publications relating to the slant/tilt and segmentation problem. Section 3 describes research and publications using developmental psychological and machine learning frameworks for learning visuomotor tasks. Finally, Section 4 summarizes the two Ph.D dissertations in the Department of Computer and Information Science made possible with AFOSR support.


Descriptors :   *IMAGE PROCESSING , *NEURAL NETS , *TEXTURE , *COMPUTATIONS , MODELS , NETWORKS , INTERACTIONS , COMPUTERS , PERCEPTION , GRANTS , INFORMATION SCIENCES , TILT , LEARNING , THESES , ESTIMATES , FEEDBACK , DOCUMENTS , MACHINES , ARCHITECTURE


Subject Categories : Cybernetics


Distribution Statement : APPROVED FOR PUBLIC RELEASE