A review of stereo vision and its applications in precision agriculture

عزیزی, حسین and رسولی شربیانی, ولی and جلیل نژاد, حمید and رسولی پور خامنه, آرمین A review of stereo vision and its applications in precision agriculture. In: 2nd International and 6th National Iranian Congress on Organic vs. Conventional Agriculture, August 2019, Ardabil, Iran.

Text G-00120-AB-2.pdf Download (469kB)

Abstract

Vision is certainly the most important tools for understanding the surrounding environment. The most important problem in computer vision and computer vision, understand the three-dimensional properties of a scene and found the geometric properties of objects that are in the scene. Stereo vision is a new approach that trying to mimic the human visual system and calculate the three-dimensional coordinates of the object using the left and right camera images and stereo equations. In robotic applications, using stereo vision can determine the structure and geometry of objects and their locations relative to the robot and to other objects. Stereo algorithm consists of four basic steps that include calibration, rectification, matching and Triangulation. Precision three-dimensional process strongly depends on the calibration and correspondence. In the calibration process, the camera parameters can be modeled. In the matching process, the corresponding points are determined based on their similarity. Triangulation is the most common method for calculating the third dimension, if we have the corresponding points. In this paper, we introduce the principle of stereo vision and stereo vision applications in precision agriculture.

Actions (login required)

View Item