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<\/figure>Mariano Jaimez Tarifa<\/strong> Welcome!<\/p>\n\n\n\n I am Mariano Jaimez Tarifa, a joint PhD student in the Machine Perception and Intelligent Robotics<\/a> group (MAPIR) at the University of M\u00e1laga (Spain) and the Computer Vision group<\/a> at the Technical University of Munich (Germany). My research interests include:<\/p>\n\n\n\n Contents<\/p> I was born in Loja (Granada, Spain) in 1988. I received a B.Sc-M.Sc in “Ingenier\u00eda Industrial” (a very general engineering which covers mechanics, computer science, electronics, electricity, etc.) from the University of M\u00e1laga in 2010 with highest honor. I also got a M.Sc in Mechatronics in 2012. I received a grant (DPI2011-25483) from the National (Spanish) Plan of Research to do a 4-year PhD under the supervision of Prof. Javier Gonz\u00e1lez-Jim\u00e9nez<\/a>, which I started in January 2013. From March to July 2014 I was a guest researcher at the Computer Vision group of the Technical University of Munich<\/a>, and in February 2015 I became a PhD student at the same University, pursuing a joint doctorate, under the supervision of Prof. Daniel Cremers<\/a>. I also visited the MIP lab in Microsoft Research Cambridge, where I worked under the supervision of Dr. Andrew Fitzgibbon<\/a> (October – November 2015).<\/p>\n\n\n\n Scene flow is defined as the dense or semi-dense motion field of a scene between different instants of time with respect to a static or moving camera. The potential applications of scene flow in the field of robotics are numerous: autonomous navigation and manipulation in dynamic environments, pose estimation or SLAM refinement, human-robot interaction or segmentation from motion are a few examples. Moreover, its usefulness goes beyond robotics and it can even be applied for human motion analysis and motion capture, virtual and augmented reality or driving assistance.<\/p>\n\n\n\n PD-Flow<\/strong>: In this work we present the first dense real-time scene flow algorithm for RGB-D cameras. It aligns photometric and geometric data, and is implemented on GPU to achieve a high frame rate.<\/p>\n\n\n\n
PhD. student in Computer Vision and Mobile Robotics<\/p>\n<\/div><\/div>\n\n\n\n![\"\"](\"https:\/\/mapir.isa.uma.es\/mapirwebsite\/wp-content\/uploads\/2021\/12\/GoogleScholar-1.png\")
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<\/a><\/figure><\/div>\n<\/div><\/div>\n\n\n\nBrief CV<\/span><\/h2>\n\n\n\n
Research<\/span><\/h2>\n\n\n\n
Scene Flow<\/strong><\/span><\/h3>\n\n\n\n