Abstract: This study examines methods for creating a perfect 3D model by obtaining the values of R, G and B from color/depth map images, conducting a point-based 3D modeling in OpenGL for objects and images, and filling the holes created on the front or flank sides based on depth values. The most important part in this process is to fill the front and side holes by employing a differentiated hole-filling method. 3D models allow users to watch images drawn from the left and right sides of a 3D television by means of a pair of 3D glasses, and this study explores how an OptiTrack camera can search for users and then show them objects and images that fit the users’viewpoint from their own location.
Keywords: 3D Object Model, 3D Model-FHD, 3D Model, Lenticular, Hole Filling, Glasses-free 3D Model
Cite this paper
Yang-Keun Ahn, Kwang-Soon Choi, Young-Choong Park. (2017) Color and Depth Image Based 3D Object Model Generation. International Journal of Signal Processing, 2 , 28-34

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