Stereo Vision Distance Estimation Employing SAD with Canny Edge Detector | Zendy

Raad H. Thaher | Zendy; Zaid Khudhur Hussein | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Stereo Vision Distance Estimation Employing SAD with Canny Edge Detector

Author(s) -

Raad H. Thaher,

Zaid Khudhur Hussein

Publication year - 2014

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/18735-9977

Subject(s) - computer science , canny edge detector , computer vision , artificial intelligence , enhanced data rates for gsm evolution , detector , edge detection , estimation , image (mathematics) , image processing , telecommunications , management , economics

vision system used to reconstruct a 3D scene from 2D images taken by a pair of optical cameras (left and right images) and it is used to estimate the distance of the object. The modified version for the (SAD) algorithm is called the Canny Block Matching Algorithm (CBMA) to find the Disparity map, the algorithm consist of two parts the Canny edge detector and Block matching technique with Sum of Absolute Difference (SAD) to determine disparity map to reduce the execution time. The system has been implemented using two cameras arranged in a manner to enhance the detection range of objects from (30cm to 4m). The results show good outputs with less error percentage, as compared with the real objects depth and the Execution time is approximated to the real-time performance. The algorithms implemented using MATLAB (8.0) technical programing language.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research