International Journal of Computer Vision
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Feature Based Methods for Structure and Motion Estimation
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
A Geometric Approach to Shape from Defocus
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Introduction to 3D Computer Vision Techniques and Algorithms
An Introduction to 3D Computer Vision Techniques and Algorithms
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The present work investigates a simple method for determining the distance to objects in a scene using the principles of the canonical stereo vision systems. The objective is to prove by the physical experiments that using conventional digital still camera in combination with image analysis techniques relying on binocular cues it is possible to effectively determine the distance to particular objects in a given scene. The main request is that the camera should have precise horizontal movement, high resolution and possibilities of adjusting the parameters of the optical system. Experimental results with structured scenes and camera shifted on various distances demonstrate the effectiveness of the method in providing a reliable estimation of the depth of a scene, and also outline some of its limitations and shortcomings.