The ability to perform fast and accurate 3 dimensional reconstruction of an environment or object is central to many areas of computer vision processing. 3D face recognition, parts inspection, autonomous drivers and a near infinite number of other applications have driven research in 3D reconstruction forward for the last decade. Whilst much of the mathematics of image formation and 3D reconstruction have been comprehensively researched through photometry and multiple view geometry for many years it is only the recent exponential explosion of processing and graphics power that have allowed practical implementations of such work within computer science. Current research is at a stage where, whilst the majority of the basics have been well covered, many practical problems and implementation issues remain.
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A Practical Framework for 3D Reconstruction and Its Applications
March 15th, 2009 Posted in Research
Mar, 15 2009
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