Journal ArticleDOI
A multiple-baseline stereo
Masatoshi Okutomi,Takeo Kanade +1 more
TLDR
It is shown that the SSSD-in-inverse-distance function exhibits a unique and clear minimum at the correct matching position, even when the underlying intensity patterns of the scene include ambiguities or repetitive patterns.Abstract:
A stereo matching method that uses multiple stereo pairs with various baselines generated by a lateral displacement of a camera to obtain precise distance estimates without suffering from ambiguity is presented. Matching is performed simply by computing the sum of squared-difference (SSD) values. The SSD functions for individual stereo pairs are represented with respect to the inverse distance and are then added to produce the sum of SSDs. This resulting function is called the SSSD-in-inverse-distance. It is shown that the SSSD-in-inverse-distance function exhibits a unique and clear minimum at the correct matching position, even when the underlying intensity patterns of the scene include ambiguities or repetitive patterns. The authors first define a stereo algorithm based on the SSSD-in-inverse-distance and present a mathematical analysis to show how the algorithm can remove ambiguity and increase precision. Experimental results with real stereo images are presented to demonstrate the effectiveness of the algorithm. >read more
Citations
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A taxonomy and evaluation of dense two-frame stereo correspondence algorithms
TL;DR: This paper has designed a stand-alone, flexible C++ implementation that enables the evaluation of individual components and that can easily be extended to include new algorithms.
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Bundle Adjustment - A Modern Synthesis
TL;DR: A survey of the theory and methods of photogrammetric bundle adjustment can be found in this article, with a focus on general robust cost functions rather than restricting attention to traditional nonlinear least squares.
Proceedings ArticleDOI
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
TL;DR: This paper first survey multi-view stereo algorithms and compare them qualitatively using a taxonomy that differentiates their key properties, then describes the process for acquiring and calibrating multiview image datasets with high-accuracy ground truth and introduces the evaluation methodology.
Journal ArticleDOI
A Theory of Shape by Space Carving
TL;DR: A provably-correct algorithm is given, called Space Carving, for computing the 3D shape of an unknown, arbitrarily-shaped scene from multiple photographs taken at known but arbitrarily-distributed viewpoints to capture photorealistic shapes that accurately model scene appearance from a wide range of viewpoints.
Book
Image Alignment and Stitching: A Tutorial
TL;DR: In this article, the basic motion models underlying alignment and stitching algorithms are described, and effective direct (pixel-based) and feature-based alignment algorithms, and blending algorithms used to produce seamless mosaics.
References
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A Computational Theory of Human Stereo Vision
David Marr,Tomaso Poggio +1 more
TL;DR: In this paper, an algorithm for solving the stereoscopic matching problem is proposed, which consists of five steps: (1) each image is filtered at different orientations with bar masks of four sizes that increase with eccentricity.
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Kalman Filter-based Algorithms for Estimating Depth from Image Sequences
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Computational Experiments with a Feature Based Stereo Algorithm
TL;DR: A version of the Marr-Poggio-Grimson algorithm that embodies modifications to the model, and its performance on a series of natural images is illustrated.
A Theory of Human Stereo Vision
David Marr,Tomaso Poggio +1 more
TL;DR: This proposal provides a theoretical framework for most existing phychophysical and neurophysiological data about stereopsis, and several critical experimental predictions are made, for instance, about the wsize of Panum?s area under various conditions.