Camouflaging an object from many viewpoints

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    17-Aug-2014

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<ul><li> Camouflaging an Object from Many Viewpoints Andrew Owens1, Connelly Barnes2, Alex Flint3, Hanumant Singh4, and William Freeman1 1MIT CSAIL, 2University of Virginia / Adobe, 3Flyby Media, 4Woods Hole Oceanographic Inst Presenter: @miyabiarts CV CVPR 26, July 2014 </li> <li> Camouflage Disruptive ColorationMasquerade Optical CamouflageBackground matching </li> <li> Motivation </li> <li> Goal 3D </li> <li> Application: Public Art http://joshuacallaghan.com/Tianmu.htm </li> <li> Significance of camouflage research </li> <li> CV Dazzle http://cvdazzle.com/ </li> <li> Goal 3D </li> <li> Contribution 3D 37 </li> <li> Algorithm Background matching Two Stage Algorithm Stage1: Capture images of object Stage2: Camouflage object </li> <li> Stage 1: Capture Images of Object 10-25 </li> <li> Stage 1: Capture Images of Object SfM3D Target: </li> <li> Stage2: Camouflage Object </li> <li> Methods Nave model mean color Projection from viewpoint Random/Greedy MRF (Proposed) Interior/Boundary MRF </li> <li> Nave model: mean color Viewpoint 1 Viewpoint 2 </li> <li> Nave model: mean color Viewpoint 1 Viewpoint 2 </li> <li> Projection from viewpoint Viewpoint 1 Viewpoint 2 </li> <li> Random/Greedy Random Greedy </li> <li> Random Viewpoint 1 Viewpoint 2 </li> <li> Random Viewpoint 1 Viewpoint 2 </li> <li> Random/Greedy Random Greedy 70 </li> <li> Greedy Viewpoint 1 Viewpoint 2 </li> <li> Greedy Viewpoint 1 Viewpoint 2 </li> <li> MRF (Proposed) </li> <li> MRF Formulation Data Smoothing </li> <li> MRF (Proposed) Interior MRF Boundary MRF </li> <li> Data cost term Data Occlusion Viewpoint Stability </li> <li> Data cost term Occlusion Viewpoint Stability </li> <li> Interior MRF Smoothing cost term </li> <li> Interior MRF Viewpoint 1 Viewpoint 2 </li> <li> Boundary MRF Projection </li> <li> Boundary MRF Viewpoint 1 Viewpoint 2 </li> <li> Psychophysical study design Amazon Mechanical Turk Work http://camo-exp.appspot.com/game </li> <li> Evaluation metrics Confusion rate [s] Time to find [s] </li> <li> Experiment 37 </li> <li> Results </li> <li> Results MRF </li> <li> Greedy vs Boundary MRF </li> <li> Interior MRF vs Boundary MRF </li> <li> Results from multi viewpoints Boundary MRF https://www.youtube.com/watch?v=NNlE_hzqdss </li> <li> Conclusion 3D MRF </li> </ul>

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