{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T08:14:01Z","timestamp":1774599241345,"version":"3.50.1"},"reference-count":17,"publisher":"World Scientific Pub Co Pte Lt","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Image Grap."],"published-print":{"date-parts":[[2004,10]]},"abstract":"<jats:p> We present a new method for using commodity graphics hardware to achieve real-time, on-line, 2D view synthesis or 3D depth estimation from two or more calibrated cameras. Our method combines a 3D plane-sweeping approach with 2D multi-resolution color consistency tests. We project camera imagery onto each plane, compute measures of color consistency throughout the plane at multiple resolutions, and then choose the color or depth (corresponding plane) that is most consistent. The key to achieving real-time performance is our use of the advanced features included with recent commodity computer graphics hardware to implement the computations simultaneously (in parallel) across all reference image pixels on a plane. <\/jats:p><jats:p> Our method is relatively simple to implement, and flexible in term of the number and placement of cameras. With two cameras and an NVIDIA GeForce4 graphics card we can achieve 50\u201370 M disparity evaluations per second, including image download and read-back overhead. This performance matches the fastest available commercial software-only implementation of correlation-based stereo algorithms, while freeing up the CPU for other uses. <\/jats:p>","DOI":"10.1142\/s0219467804001579","type":"journal-article","created":{"date-parts":[[2004,9,6]],"date-time":"2004-09-06T11:50:09Z","timestamp":1094471409000},"page":"627-651","source":"Crossref","is-referenced-by-count":18,"title":["A UNIFIED APPROACH TO REAL-TIME, MULTI-RESOLUTION, MULTI-BASELINE 2D VIEW SYNTHESIS AND 3D DEPTH ESTIMATION USING COMMODITY GRAPHICS HARDWARE"],"prefix":"10.1142","volume":"04","author":[{"given":"RUIGANG","family":"YANG","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA"}]},{"given":"MARC","family":"POLLEFEYS","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA"}]},{"given":"HUA","family":"YANG","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA"}]},{"given":"GREG","family":"WELCH","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA"}]}],"member":"219","published-online":{"date-parts":[[2011,11,20]]},"reference":[{"key":"rf2","series-title":"Technical Report AIM-351","volume-title":"Automated stereo perception","author":"Arnold R. 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