Accession Number : ADA266644


Title :   Depths from Focusing and Defocusing


Descriptive Note : Technical rept.,


Corporate Author : CARNEGIE-MELLON UNIV PITTSBURGH PA ROBOTICS INST


Personal Author(s) : Xiong, Yalin ; Shafer, Steven A


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a266644.pdf


Report Date : Mar 1993


Pagination or Media Count : 29


Abstract : This paper studies the problem of obtaining depth information from focusing and defocusing, which have long been noticed as important sources of depth information for human and machine vision. In depth from focusing, we try to eliminate the local maxima problem which is the main source of inaccuracy in focusing; in depth from defocusing, a new computational model is proposed to achieve higher accuracy. The major contributions of this paper are: (1) In depth from focusing, instead of the popular Fibonacci search which is often trapped in local maxima, we propose the combination of Fibonacci search and curve fitting, which leads to an unprecedentedly accurate result; (2) New model of the blurring effect which takes the geometric blurring as well as the imaging blurring into consideration, and the calibration of the blurring model; (3) In spectrogram- based depth from defocusing, an iterative estimation method is proposed to decrease or eliminate the window effect This paper reports focus ranging with less than 1/1000 error and the defocus ranging with about 1/200 error. With this precision, depth from focus ranging is becoming competitive with stereo vision for reconstructing 3D depth information.


Descriptors :   *VISION , *DEPTH FINDING , MODELS , HUMANS , ACCURACY , ERRORS , PAPER , CURVE FITTING , FITTINGS , PRECISION , MACHINES , FOCUSING , CALIBRATION


Subject Categories : Human Factors Engineering & Man Machine System


Distribution Statement : APPROVED FOR PUBLIC RELEASE