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viewpoint Manipulation for Interactive Television by Using Human Pose Estimation

Journal of Shanghai Jiaotong university(Science) 2011年第5期16卷 538-542页

作者：仝明磊 School of Computer and Information Shanghai University of Electric Power

In current interactive television schemes, the viewpoints should be manipulated by the user. However, there is no efficient method, to assist a user in automatically identifying and tracking the optimum viewpoint when the user observes the object of interest because many objects, most often humans, move rapidly and frequently. This paper proposes a novel framework for determining and tracking the virtual camera to best capture the front of the person of interest (PoI). First, one PoI is interactively chosen in a segmented 3D scene reconstructed by space carving method. Second, key points of the human torso of the PoI are detected by using a model-based method and the human's global motion including rotation and translation is estimated by using a close-formed method with 3 corresponding points. At the last step, the front direction of PoI is tracked temporally by using the unscented particle filter (UPF). Experimental results show that the method can properly compute the front direction of the PoI and robustly track the best viewpoints.

关键词： free viewpoint video human pose estimation voxel space carving

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Hyper 360—Towards a Unified Tool Set Supporting Next Generation VR Film and TV Productions

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Journal of Software Engineering and Applications 2019年第5期12卷 127-148页

作者： Barnabas Takacs Zsuzsanna Vincze Hannes Fassold Antonis Karakottas Nikolaos Zioulis Dimitrios Zarpalas Petros Daras Drukka Kft/PanoCAST BudapestHungary Joanneum Research Digital—Institute for Information and Communication Technologies GrazAustria Centre for Research&Technology Hellas(CERTH)—Information Technologies Institute(ITI) ThessalonikiGreece

We describe four fundamental challenges that complex real-life Virtual Reality (VR) productions are facing today (such as multi-camera management, quality control, automatic annotation with cinematography and 360˚?depth estimation) and describe an integrated solution, called Hyper 360, to address them. We demonstrate our solution and its evaluation in the context of practical productions and present related results.

关键词： Deep Learning Tensor Flow YoloV3 360°video Virtual Reality free viewpoint video Quality Control Automatic Cinematography Multi-Camera Systems

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