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Human-vision-based real-time stereopsis

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Abstract

The progression in the field of stereoscopic imaging has resulted in impressive 3D videos. This technology is now used for commercial and entertainment purposes and sometimes even for medical applications. Currently, it is impossible to produce quality anaglyph video using a single camera under different moving and atmospheric conditions with the corresponding depth, local colour, and structural information. The proposed study challenges the previous researches by introducing single camera based method for anaglyph reconstruction and it mainly concentrates on human visual perception, where as the previous methods used dual camera, depth sensor, multi view, which demand not only long duration they also suffer from photometric distortion due to variation in angular alignment. This study also contributes clear individual image without any occlusion with another image. We use an approach based on human vision to determine the corresponding depth information. The source frames are shifted slightly in opposite directions as the distance between the pupils increases. We integrate the colour components of the shifted frames to generate contrasting colours for each one of the marginally shifted frames. The colour component images are then reconstructed as a cyclopean image. We show the results of our method by applying it to quickly varying video sequences and compare its performance to other existing methods.

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Authors and Affiliations

  1. School of Electrical & Electronics Engineering, SASTRA University, Thanjavur, Tamilnadu, India

    Narasimhan Ranga Raajan & Manickavasagam Malini Deepika

  2. Department of Electronics & Communication Engineering, SASTRA University, Thanjavur, Tamilnadu, India

    Manickavasagam Malini Deepika

Authors
  1. Narasimhan Ranga Raajan
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  2. Manickavasagam Malini Deepika
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Correspondence to Manickavasagam Malini Deepika.

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Raajan, N.R., Deepika, M.M. Human-vision-based real-time stereopsis. Multimed Tools Appl 76, 23481–23497 (2017). https://doi.org/10.1007/s11042-016-4120-9

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  • DOI: https://doi.org/10.1007/s11042-016-4120-9

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