Title :
The research of tree growth based on image vision theory
Author :
Xu, Jie ; Qi, Dawei
Author_Institution :
Coll. of Eng.. & Technol., Northeast Forestry Univ., Harbin, China
Abstract :
This article researches the applications of tree growth status tracking based on binocular vision. We conducted experiments using dual-camera of parallel optical axis to capture images, by the way of looking feature points calibrated in the tree´s image to match the two images of trees. We calculated the spatial information change of the trees marked point within a certain time interval changes, and determined the center point of the horizontal, vertical and depth of changes in the three coordinate directions. Aware of changes in tree diameter and height, we determined the status of tree growth.
Keywords :
computer vision; forestry; image matching; vegetation; binocular vision; dual-camera; image vision theory; parallel optical axis; spatial information; tree diameter; tree growth status tracking; tree height; tree image matching; Calibration; Cameras; Educational institutions; Forestry; Monitoring; Vegetation; calibration; image matching; machine vision; tree image;
Conference_Titel :
Image Analysis and Signal Processing (IASP), 2011 International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-1-61284-879-2
DOI :
10.1109/IASP.2011.6109039