Zobrazeno 1 - 10
of 118
pro vyhledávání: '"Theo Pavlidis"'
Autor:
Theo Pavlidis
Publikováno v:
Signal, Image and Video Processing. 8:191-195
I argue that in spite of the progress in several machine vision applications, the general machine vision problem is not going to be solved any time soon. There are three reasons for that: (1) The complexity of human vision: Bottom-up and top-down pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf1b8c391fac766777019882632ca0f9
https://doi.org/10.1007/s11760-013-0549-8
https://doi.org/10.1007/s11760-013-0549-8
Autor:
Kefei Lu, Theo Pavlidis
Publikováno v:
Machine Vision and Applications. 18:123-133
In this paper, we present a methodology of locating 3D objects of known shapes from a single gray-scale image, in particular objects with rich textures on the surface. While traditional approaches identify objects by grouping and matching local featu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4a5ec8eecc6bd4b62c1e39871e3d6d7
https://doi.org/10.1007/s00138-006-0060-0
https://doi.org/10.1007/s00138-006-0060-0
Autor:
Theo Pavlidis
Publikováno v:
Pattern Recognition Letters. 26:235-238
Professor Azriel Rosenfeld did important work in several areas of Image Processing, Pattern Recognition and Computer Vision. I had the good fortune to interact with him on several topics for over 30 years and it is difficult to select a single topic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b14eeb7a614a6cd09f60b3369376e121
https://doi.org/10.1016/j.patrec.2004.10.013
https://doi.org/10.1016/j.patrec.2004.10.013
Autor:
Theo Pavlidis
Publikováno v:
Pattern Recognition Letters. 24:1-7
The talk consists of four parts: (1) How I became interested in Pattern Recognition (and a bit of personal history), (2) The early years of pattern recognition (late 60's and 70's), (3) Pattern recognition in the present (the last 20 years) and (4) S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ddee7f47bcca44c6313343f1571472d
https://doi.org/10.1016/s0167-8655(02)00211-8
https://doi.org/10.1016/s0167-8655(02)00211-8
Autor:
Theo Pavlidis
Publikováno v:
Pattern Recognition Letters. 30:1413-1415
The paper provides lower bounds on the number of all possible images that appear meaningful to a human observer as well as the number of all possible images that appear pair-wise distinct to a human observer. These numbers suggest that it is impracti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cabc4c4fbd4061a089a2cf4639d551c9
https://doi.org/10.1016/j.patrec.2009.07.001
https://doi.org/10.1016/j.patrec.2009.07.001
Autor:
Kevin D. Hunter, Theo Pavlidis
Publikováno v:
Computational Geometry. 14(4):221-240
We address the problem of characterizing polygonal shapes that can be reconstructed from a class of scanners that have asymmetric resolution. We approach this problem using the methodology of non-interactive probing . Laser raster scanners provide ve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::920bcf0d2e4b7ac4c9005a691d730c01
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 21:145-158
We propose a new thinning algorithm based on line sweep operation. Assuming that the contour of the figure to be thinned has been approximated by polygons, the "events" are then the vertices of the polygons, and the line sweep algorithm searches for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0016a6fe459fcfe443ae127a9e1ff6d
https://doi.org/10.1109/34.748823
https://doi.org/10.1109/34.748823
Thirty years ago pattern recognition was dominated by the learning machine concept: that one could automate the process of going from the raw data to a classifier. The derivation of numerical features from the input image was not considered an import
Publikováno v:
Computer Vision and Image Understanding. 66:330-346
In this paper we present a structural method to speed up the character recognition process by reducing the number of the prototypes used during the classification of a given sample. It adopts simplified descriptions of the character shapes and uses a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6e6d465ec78a85201c8bf29ccc26b36
https://doi.org/10.1006/cviu.1996.0518
https://doi.org/10.1006/cviu.1996.0518
Autor:
Jianying Hu, Theo Pavlidis
Publikováno v:
Computer Vision and Image Understanding. 63:208-220
Curvilinear object searching is a common problem encountered in pattern recognition and information retrieval. How to improve the efficiency of searching is the major concern, especially when the data set is large. In this paper we propose a hierarch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aafb920681982c9fd5f6bd2676701760
https://doi.org/10.1006/cviu.1996.0015
https://doi.org/10.1006/cviu.1996.0015