This paper presents a mirror morphing scheme to deal with the challenging pose variation problem in car model recognition. Conventionally, researchers adopt pose estimation techniques to overcome the pose problem, whereas it is difficult to obtain very accurate pose estimation. Moreover, slight deviation in pose estimation degrades the recognition performance dramatically. The mirror morphing technique utilizes the symmetric property of cars to normalize car images of any orientation into a typical view. Therefore, the pose error and center bias can be eliminated and satisfactory recognition performance can be obtained. To support mirror morphing, active shape model (ASM) is used to acquire car shape information. An effective pose and center estimation approach is also proposed to provide a good initialization for ASM. In experiments, the proposed car model recognition system can achieve very high recognition rate (> 95%) with very low probability of false alarm even when it is dealing with the severe pose problem in the cases of cars with similar shape and color.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Car model recognition by utilizing symmetric property to overcome severe pose variation


    Additional title:

    Fahrzeugtyperkennung durch Verwendung der Symmetrie-Eigenschaft um Probleme durch Stellungsvariation bewältigen zu können


    Contributors:
    Gu, Hui-Zhen (author) / Lee, Suh-Yin (author)

    Published in:

    Publication date :

    2013


    Size :

    20 Seiten, 16 Bilder, 3 Tabellen, 41 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English





    Multimodal biometrics approach using face and ear recognition to overcome adverse effects of pose changes

    Wang, Y. / He, D. / Yu, C. et al. | British Library Online Contents | 2012


    Aerial Drone Utilizing Pose Estimation

    TRAN QUOC-HUY / CHANDRAKER MANMOHAN / KIM HYO JIN | European Patent Office | 2019

    Free access

    Aerial drone utilizing pose estimation

    TRAN QUOC-HUY / CHANDRAKER MANMOHAN / KIM HYO JIN | European Patent Office | 2021

    Free access

    Face Recognition Under Varying Pose

    Beymer, D. J. / Institute of Electrical and Electronics Engineers; Computer Society | British Library Conference Proceedings | 1994