Depth extraction for a structured light system based on mismatched image pair rectification using a virtual camera. Issue 11 (26th September 2017)

• Record Type: Journal Article
• Authors: Du, Qiuchen; Liu, Rongke; Pan, Yu
• Is Part Of: IET image processing. Volume 11:Issue 11(2017)
• Page Start: 1086
• Page End: 1093
• Publication Date: 2017-09-26
• Subjects: cameras -- feature extraction -- image matching -- image reconstruction -- image sensors; structured light system -- mismatched image pair rectification -- virtual camera -- three‐dimensional models -- low‐price high‐speed depth cameras -- Kinect -- active depth sensor -- low‐quality depth map extraction -- image matching process -- depth extraction method -- hardware platforms; Image processing -- Periodicals; 621.36705
• DOI: 10.1049/iet-ipr.2016.0477
• Languages: English
• ISSNs: 1751-9659

Abstract

Abstract : Structured light systems have become an effective tool for reconstructing three‐dimensional models of objects due to the advent of low‐price, high‐speed depth cameras such as Kinect. However, this kind of active depth sensor extracts low‐quality depth maps because of its inaccurate image matching process. This study proposes a depth extraction method based on image rectification for accurate image matching. Due to the sizes of the projected patterns and the captured images are usually different, a virtual camera is defined, through which the rectified images are generated to match the images in the real camera at pixel level. Experiments on simulated and hardware platforms demonstrate that the proposed method achieves efficient rectification and obtains better‐quality depth maps.