By Topic

Algorithm for 3D reconstruction of agriculture field pests based on binocular stereo vision

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Jianqiang Ren ; Department of Computer, Langfang Teachers College, Hebei, 065000, China

In order to solve the shortcomings of existing autodiagnostics system of agricultural insect pests and the pest image database, a new algorithm for 3D reconstruction of pests based on binocular stereo vision is proposed in this paper. The whole approach consists of four components. First, a novel image acquisition device based on PS-15 II lamp and bionic cameras is used to collect the pest images, and the images are preprocessed further. Then, the camera calibration and the distortion correction are completed with the cuboid in the pest images. Next, a background difference algorithm is used to extract the pest object from the images. Finally, based on the detection and the matching of feature points in the binocular object images, the 3D reconstruction of the pest data is achieved. Experimental results showed that the algorithm is efficient and accurate, the average error of 3D reconstruction result is less than 0.5mm, and the percentage error is less than 1.5%.

Published in:

World Automation Congress (WAC), 2010

Date of Conference:

19-23 Sept. 2010