IMPROVED INITIAL APPROXIMATION AND INTENSITY-GUIDED DISCONTINUITY DETECTION IN VISIBLE-SURFACE RECONSTRUCTION

作     者：JOU, JY BOVIK, AC 

作者机构：Laboratory for Vision Systems Computer and Vision Research Center Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712-1084 USA 

出 版 物：《COMPUTER VISION GRAPHICS AND IMAGE PROCESSING》 (Comput Vision Graphics Image Process)

年 卷 期：1989年第47卷第3期

页      面：292-326页

核心收录：

基　　金：Texas Advanced Research Program, (3546) University of Texas at Austin 

主　　题：Image Processing 

摘      要：Techniques are described for improving the speed and accuracy of iterative visible-surface reconstruction algorithms. In particular, the importance of obtaining accurate early information is emphasized, both in the initial surface approximation and in the early localization of surface discontinuities. The first of these goals is attained using a simple technique known as constraint expansion , which yields a good initial approximation while accounting for detected discontinuities. The second goal is attained by using the locations of the image irradiance edges as a guide in locating potential discontinuities. Discontinuity detection in later stages of computation is augmented by a double-thresholding strategy and discontinuity backtracking.