Stereo vision based tree planting spot detection

Forest planting currently is expensive and very labor intensive. In order to automatize forest planting, it is necessary to detect good planting spots automatically. In this paper, a method for automatic detection of planting spots is described. The information for the detection is deduced merely from stereo images. A continuous 3D reconstruction is performed and the planting spots are inferred using a 3D Implicit Shape Model and planting spot score boosting. The results of our method are promising: the precision of the detector is 94.8 % with a recall rate of 98.0 %.