Occlusions and binocular stereo
International Journal of Computer Vision
A Stereo Matching Algorithm with an Adaptive Window: Theory and Experiment
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model Based Tracking for Navigation and Segmentation
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
A Four-step Camera Calibration Procedure with Implicit Image Correction
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Intelligent Service Robotics
Computers and Electronics in Agriculture
International Journal of Computational Vision and Robotics
Estimating plant growth parameters using an energy minimization-based stereovision model
Computers and Electronics in Agriculture
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An important task in precision agriculture is to monitor the growth conditions of the crop plants. Compared to traditional monitoring techniques based on remote sensing from aircraft or satellite, ground-based computer vision techniques offer the advantage of allowing crop analysis on single plant scale. This article investigates the potential of using area-based binocular stereo vision for three-dimensional (3-D) analysis of single plants and estimation of geometric attributes such as height and total leaf area. During the stereo matching process, multiple candidates for pixel-to-pixel correspondences are found, and as a novel approach, the use of the simulated annealing (SA) method is proposed in order to find the best candidate, taking neighboring pixels into consideration. Under laboratory conditions, tests have been conducted on 10 young wheat plants. The results show that plant height and leaf area can be estimated by means of the proposed method. Using proper parameter settings, the use of simulated annealing improves the estimation considerably.