Depth Extraction for a Structured Light System Based on Mismatched Image Pair Rectification Using a Virtual Camera
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.
The intent of this paper is to describe the first stages of potentially ongoing collaborative research between the United States Naval Research Laboratory's Underwater Sound Reference Detachment (USRD) and France's DCN In genierie cenae Sud Departement Lutte Sous-Marine (DCN/SUD/DLSM). The immediate focus of this collaborative work is on high Q electroacoustic transducer calibration in reverberation limited environments. This paper will be divided into three sections: the first one, a description of the motivating problem in reverberation limited measurements, the second one, a description of the two techniques developed by each laboratory, finally, research results and the activities necessary to complete the work in progress