A novel method of using stereoscopic video images to synthesize the computer-generated hologram (CGH) patterns of a real 3D object is proposed. Stereoscopic video images of a real 3D object are captured by a 3D camera system. Disparity maps between the captured stereo image pairs are estimated and from these estimated maps the depth data for each pixel of the object can be extracted on a frame basis. By using these depth data and original color images, hologram patterns of a real object can be computationally generated. In experiments, stereoscopic video images of a real 3D object, a wooden rhinoceros doll, are captured by using the Wasol 3D adapter system and its depth data are extracted from them. Then, CGH patterns of 1280 pixels × 1024 pixels are generated with these depth-annotated images of the wooden rhinoceros doll, and the CGH patterns are experimentally displayed via a holographic display system.
© 2006 Optical Society of America
Original Manuscript: August 15, 2005
Revised Manuscript: December 9, 2005
Manuscript Accepted: December 9, 2005
Seung-Cheol Kim, Dong-Choon Hwang, Dong-Hwi Lee, and Eun-Soo Kim, "Computer-generated holograms of a real three-dimensional object based on stereoscopic video images," Appl. Opt. 45, 5669-5676 (2006)