A Low Cost Scheme of Scene Depth Map for Stereoscopic Video Streaming Using Single Kinect Sensing

Din Yuen Chan; Chi Wen Hsieh; Tai Lang Jong

doi:10.4028/www.scientific.net/AMR.1006-1007.779

Paper Titles

Scale Distorted Target Recognition Based on Machine Vision
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Vector Quantization by Minimizing Kullback-Leibler Divergence between the Class Label Distributions over Quantization Input and Output
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An Image Quality Assessment Approach Based on Saliency Map in Space Domain
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Research on Surface Defect Detection Technique of Rolling Element Based on Computer Vision
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A Low Cost Scheme of Scene Depth Map for Stereoscopic Video Streaming Using Single Kinect Sensing
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The Study and Experiment of ERT Imaging System
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Model Optimization and Testing on Real-Time Video Moving Target Detection
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Research on Intelligent Image Watermarking Schemes Based on Optimization Algorithm
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Study on Reconstruction Techniques of Landscape Image
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1006-1007A Low Cost Scheme of Scene Depth Map for...

A Low Cost Scheme of Scene Depth Map for Stereoscopic Video Streaming Using Single Kinect Sensing

Abstract:

This study mainly described a low-cost stereoscopic sensing scheme using a single Kinect device of Microsoft. Basically, the integration of infrared (IR) depth map with visible light image of Kinect could support the virtual 3-dimensional view. However, the precision and unstable displays are problems practically that means the unstable variation of 3D displays and distorted projections of Kinect IR projector make the depth maps non-reliable so that the virtual view usually non-acceptable with defects in many cases especially in low lamination and corners of the sensing objects. The study proposed an algorithm to rebuild a good depth map includes: free-holes filling, extrapolation and prediction of filling-loss holes, rectification and trimming of depth-edge deformation, modification of the depths for no-IR-detectable object and the sparse IR-detectable depths, and finally applying the bilateral filtering for the edge smoothing. The simulation result demonstrated that the proposed algorithm can provide an acceptable virtual 3-dimensional images and the calculation loads are suitable for real-time stereoscopic displays.