Finding Object Depth Using Stereoscopic Photography

Authors:
Yu-Hua Lee;Tai-Pao Chuang
Affiliations:
Department of Computer Science and Information Engineering, Ching-Yun University, Junh-Li, Taiwan, R.O.C. 320;Department of Computer Science and Information Engineering, Ching-Yun University, Junh-Li, Taiwan, R.O.C. 320
Venue:
ICA3PP '09 Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing
Year:
2009

Citing 5
Cited 0

A New Sense for Depth of Field

IEEE Transactions on Pattern Analysis and Machine Intelligence
Computational Stereo

ACM Computing Surveys (CSUR)
Computer Vision: A Modern Approach

Computer Vision: A Modern Approach
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms

International Journal of Computer Vision
Stereo vision for computer graphics: the effect that stereo vision has on human judgments of visual realism

SCCG '03 Proceedings of the 19th spring conference on Computer graphics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Stereoscopic scenes of the mankind is naturally caused by synthesizing two images produced by the parallax of the two eyes of human. Such being the case, mankind can distinguish the relative position of the objects. In the study of related stereovision, some persons aim at the framework of taking simulated images with two eyes using one or two cameras from front and back or simultaneously at the same time to obtain a pair of parallax mages; someone pay more attention to the theoretical analysis of the relative positions of the parallax images, and some others do the work of using parallax images as material to carry out the job of image classification, comparison and analysis. The purpose of this paper is to estimate the distance between the objects and the camera in an outdoor environment using commercial digital camera.