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Design of Vehicle Panoramic Viewer Based on Image Mosaics

Author: YangPing
Tutor: MaoZheng
School: Beijing University of Technology
Course: Information and Communication Engineering
Keywords: Image Stitching Harris corner SIFT algorithm Image registration Image Fusion Ghosting eliminate
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 81
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Abstract


With the vigorous development of the automobile industry , car safe driving become a hot topic in the world within a variety of vehicle monitoring systems have emerged . Vehicle monitoring system , the monitoring personnel often need to observe the wide viewing angle of the scene , or even a 360 - degree panoramic observation . Therefore, we designed a car full view based on image stitching technology observer and experimental device . The subjects of the feature point - based image stitching technology , to design a car full view observer , the observation of large angle scenes . Harris corner and scale invariant features (SIFT) two stable , effective feature point detection algorithm , Harris corner detection method has simple calculation and rotational invariance advantages , but vulnerable to changes in image scale and the effect of noise ; while the scale invariant feature rotation and scale invariance , and robustness for the noise , the perspective changes , and illumination changes , to solve the Harris feature detection for scale changes in sensitive issues , but the algorithm is complex , computationally intensive , not conducive to real-time implementation of the system . Number of SIFT algorithm extracts feature points to match the time - consuming problem , the scalable nature of the SIFT algorithm to improve the SIFT feature point extraction , detection SIFT scale space the Harris corner extremum points as feature points , that would take into account the advantages of the two algorithms , but also improve the system match . The article also described SIFT features the character more dimension and proposes an improved method in the SIFT feature does not affect the stability of the premise , can effectively reduce the dimension of SIFT feature descriptor . The main contribution of this article is: (1) depth study of the Harris corner point method and SIFT algorithm of the extracted image feature points , to achieve improvements SIFT feature point extraction , the more stable the image feature points extracted ; (2) the SIFT feature descriptor has been improved , a low dimension of SIFT feature descriptor calculation methods ; ( 3 ) the use of a moving target detection method mark of a moving object region , to achieve the integration of a moving target in the overlap region , effectively eliminating image fusion ghosting ; (4) to design a car based on image stitching technology perspective observer , and build a system experiment device ; ( 5 ) of the software system is optimized to achieve real-time observation device .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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