標題: Wide Angle Virtual View Synthesis Using Two-by-Two Kinect V2
作者: Chang, Huan-Rui
Hang, Hsueh-Ming
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
公開日期: 1-一月-2017
摘要: In this piper, we propose a wide-angle view synthesis system based on captured multiple images and depth maps. We use a two-by-two array of Kinect v2 cameras to facilitate virtual camera tilt and zoom-in cases. We integrate two essential components developed by our lab colleagues to form a complete and practical system Two additional elements are designed and implemented in this study. The first element is an improved multi-view blending algorithm that provides a clear improvement on the synthesized image quality even though the warping process induces some artifacts. By using four RGB-D cameras to capture the reference views, we haw sufficient information to decide which pixel in the warped views is erroneous and we replace it by choosing the correct virtual color pixel from the other warped views to generate the synthesized pixel. The second element is solving the asynchronization problem among multiple Kinects in capturing images/videos. For simplicity, our first attempt is implementing a clock calibration system based on PC clock synchronization software. We examine the quality of synthesized views for various camera tilt and zoom-in/out cases. Experimental results show that the proposed multi-view blending algorithm achieves good synthesized image subjective quality on the real world images captured by four Kinect v2 sensors.
URI: http://hdl.handle.net/11536/146970
ISSN: 2309-9402
期刊: 2017 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC 2017)
起始頁: 1083
結束頁: 1091
顯示於類別:會議論文