Image Based Plant Recognition and Plant Modeling
Abstract：The research of image-based plant recognition and modeling have important significance for improving plant classification efficiency, popularizing botanic knowledge, recognizing and protecting plant resources. In this project, the main contents include plant image segmentation based on similarity, leaf classification and winter tree recognition based on phytotaxonomy, parameter measurement based on vision technology, and organ reconstruction and group of plants modeling based on growth path optimization. Key problems are as follow: leaf and plant image segmentation with complex background and tiny structure, feature extraction for leaf and winter tree, the feasibility of using stereo vision for plant parameter measurement, and the modeling of group of plants based on botany theory. The innovativeness exist in combing sketch guidance and prior shape restrict for optimized segmentation, leaf feature extraction based on phytotaxonomy, winter tree recognition based on whole branch structure, and group of plants modeling through reconstructing parts and simulating the whole structure.
Keywords: image classification; leaf recognition; 3D modeling; image segmentation
Contact:
LIU Jia
E-mail: liujia@nlpr.ia.ac.cn