Adaptive stereoscopic image conversion of 2D image

Jong-Ho Lee; Jung-Jin Kim; Eun-Soo Kim

doi:10.1117/12.449358

13 November 2001 Adaptive stereoscopic image conversion of 2D image

Jong-Ho Lee, Jung-Jin Kim, Eun-Soo Kim

Proceedings Volume 4471, Algorithms and Systems for Optical Information Processing V; (2001) https://doi.org/10.1117/12.449358
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

Abstract

In recent years, there have been many researches being done throughout the world on the 3D image conversion of 2D image. However, 3D image conversion of 2D image has many problems on obtaining the optimal stereopsis. Stereopsis is dominated to relative position of several objects and depth information within image. Accordingly, in this paper, as a new adaptive scheme for stereoscopic image conversion of 2D image is suggested. Two input images acquired by Stereo Camera have different disparity information to each other. Disparity map, based on disparity information, presents mutually different occulusion region in the left/right image. These depend on the left view & right view and front & rear view of the virtual image plane. If arbitrary threshold values are applied to disparity map, we can get segmented objects from the input image. Using the principle of horizontal parallax, segmented objects are shifted with optimal screen disparity. In this case, we can improve stereopsis by differential shifting.

Citation Download Citation

Jong-Ho Lee, Jung-Jin Kim, and Eun-Soo Kim "Adaptive stereoscopic image conversion of 2D image", Proc. SPIE 4471, Algorithms and Systems for Optical Information Processing V, (13 November 2001); https://doi.org/10.1117/12.449358

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