An efficient technique is presented for obtaining dense stereo correspondence using a new adaptive block matching technique. First, one of the color stereo images (e.g., the left) is segmented into chromatic and achromatic regions using perceptual attributes in the HSI color space. Then the block matching technique is applied to the stereo images using adaptive similarity measures. The results have been compared to the results of the gray value algorithm. The precision of the matching results always improved by 25 to 30% when using the adaptive color algorithm instead of the gray value algorithm.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Using perceptual attributes to obtain dense depth maps


    Contributors:
    Koschan, A. (author)


    Publication date :

    1996-01-01


    Size :

    632176 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Using Perceptual Attributes to Obtain Dense Depth Maps

    Koschan, A. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1996


    Sensor calibration using dense depth maps

    KROEGER TILL | European Patent Office | 2023

    Free access

    A robust multi-scale integration method to obtain the depth from gradient maps

    Saracchini, R. F. / Stolfi, J. / Leitao, H. C. et al. | British Library Online Contents | 2012



    Efficient Dense Depth Estimation from Dense Multiperspective Panoramas

    Li, Y. / Tang, C. / Shum, H. et al. | British Library Conference Proceedings | 2001