4 March 2015 Improved stereo matching applied to digitization of greenhouse plants
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Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 944326 (2015) https://doi.org/10.1117/12.2179327
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China
Abstract
The digitization of greenhouse plants is an important aspect of digital agriculture. Its ultimate aim is to reconstruct a visible and interoperable virtual plant model on the computer by using state-of-the-art image process and computer graphics technologies. The most prominent difficulties of the digitization of greenhouse plants include how to acquire the three-dimensional shape data of greenhouse plants and how to carry out its realistic stereo reconstruction. Concerning these issues an effective method for the digitization of greenhouse plants is proposed by using a binocular stereo vision system in this paper. Stereo vision is a technique aiming at inferring depth information from two or more cameras; it consists of four parts: calibration of the cameras, stereo rectification, search of stereo correspondence and triangulation. Through the final triangulation procedure, the 3D point cloud of the plant can be achieved. The proposed stereo vision system can facilitate further segmentation of plant organs such as stems and leaves; moreover, it can provide reliable digital samples for the visualization of greenhouse tomato plants.
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Peng Zhang, Lihong Xu, Dawei Li, Xiaomeng Gu, "Improved stereo matching applied to digitization of greenhouse plants", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 944326 (4 March 2015); doi: 10.1117/12.2179327; https://doi.org/10.1117/12.2179327
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