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                    "atom:title": "ipol_97",
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                    "codemeta:author": [
                        {
                            "codemeta:affiliation": "IST, Austria",
                            "codemeta:name": "Vladimir Kolmogorov"
                        },
                        {
                            "codemeta:affiliation": "Universit\u00e9 Paris-Est, France",
                            "codemeta:name": "Pascal Monasse"
                        },
                        {
                            "codemeta:affiliation": "CMLA, ENS Cachan, France",
                            "codemeta:name": "Pauline Tan"
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                    "codemeta:dateCreated": "2014-10-10",
                    "codemeta:datePublished": "2014-10-15",
                    "codemeta:description": "Kolmogorov and Zabih\u2019s Graph Cuts Stereo Matching Algorithm",
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                    "codemeta:identifier": "https://doi.org/10.5201/ipol.2014.97",
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                        "codemeta:identifier": "ISSN: 2105-1232 DOI: 10.5201/ipol",
                        "codemeta:name": "Image Processing On Line (IPOL)",
                        "codemeta:type": "Journal"
                    },
                    "codemeta:keywords": [
                        "stereo matching",
                        "global method",
                        "graph cuts"
                    ],
                    "codemeta:license": {
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                        "codemeta:abstract": "Binocular stereovision estimates the three-dimensional shape of a scene from two photographs taken from different points of view. In rectified epipolar geometry, this is equivalent to a matching problem. This article describes a method proposed by Kolmogorov and Zabih in 2001, which puts forward an energy-based formulation. The aim is to minimize a four-term-energy. This energy is not convex and cannot be minimized except among a class of perturbations called expansion moves, in which case an exact minimization can be done with graph cuts techniques. One noteworthy feature of this method is that it handles occlusion: The algorithm detects points that cannot be matched with any point in the other image. In this method displacements are pixel accurate (no subpixel refinement).",
                        "codemeta:identifier": "https://doi.org/10.5201/ipol.2014.97",
                        "codemeta:name": "Kolmogorov and Zabih\u2019s Graph Cuts Stereo Matching Algorithm",
                        "codemeta:url": "http://www.ipol.im/pub/art/2014/97/article.pdf"
                    },
                    "codemeta:relatedLink": "http://demo.ipol.im/demo/97/",
                    "codemeta:releaseNotes": "This code implements the algorithm(s) published in the IPOL paper \"Kolmogorov and Zabih\u2019s Graph Cuts Stereo Matching Algorithm\"",
                    "codemeta:url": "http://www.ipol.im/pub/art/2014/97/",
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