Scene interpretation by fusion of segment and region information

This paper describes a system that gives a simplified interpretation of real scenes through analysis of monocular images. Scenes are described by fusing information derived by the edge segments and by the regions extracted from the scene. The interpretation is given in terms of primitives such as surfaces and their spatial relationships. Real indoor and outdoor scenes relative to urban and rural environments have been used to validate the system. The main goal of the proposed architecture is to provide help for blind people's navigation, but the techniques developed are also suitable for robotics applications.

[1]  Azriel Rosenfeld,et al.  Image analysis: Problems, progress and prospects , 1984, Pattern Recognit..

[2]  Paolo Gamba,et al.  Vanishing point detection by a voting scheme , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[3]  Vincent Torre,et al.  A linear complexity procedure for labelling line drawings of polyhedral scenes using vanishing points , 1993, 1993 (4th) International Conference on Computer Vision.

[4]  Kenichi Kanatani.  Statistical analysis of geometric computation , 1994 .

[5]  Dana H. Ballard,et al.  Computer Vision , 1982 .

[6]  Jake K. Aggarwal,et al.  Determining vanishing points from perspective images , 1984, Comput. Vis. Graph. Image Process..

[7]  C. Coelho,et al.  Extraction of vanishing points from images of indoor and outdoor scenes , 1993, Image Vis. Comput..

[8]  John R. Kender,et al.  An optimal algorithm for the derivation of shape from shadows , 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.

[9]  David G. Lowe,et al.  Perceptual Organization and Visual Recognition , 2012 .

[10]  Claude L. Fennema,et al.  Scene Analysis Using Regions , 1970, Artif. Intell..

[11]  Kenichi Kanatani,et al.  Computational projective geometry , 1991, CVGIP Image Underst..

[12]  Linda G. Shapiro,et al.  Image Segmentation Techniques , 1984, Other Conferences.

[13]  C. Coelho,et al.  The Recovery and Understanding of a Line Drawing from Indoor Scenes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  Keith Price,et al.  Picture Segmentation Using a Recursive Region Splitting Method , 1998 .

[15]  Beatrice Brillault-O'Mahony,et al.  New method for vanishing point detection , 1991, CVGIP Image Underst..

[16]  Anthony J. Maeder,et al.  Image segmentation for complex natural scenes , 1990, Image Vis. Comput..

[17]  Samir I. Shaheen,et al.  A Modular Computer Vision System for Picture Segmentation and Interpretation , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[18]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[19]  John R. Kender,et al.  Shape from Darkness: Deriving Surface Information from Dynamic Shadows , 1986, AAAI.

[20]  Josef Kittler,et al.  Vanishing point detection , 1993, Image Vis. Comput..

[21]  Soo-Chang Pei,et al.  Rigid motion and structure from several sets of parallel lines in a monocular image sequence , 1994, Pattern Recognit..

[22]  WILLIAM CHEN,et al.  3-D camera calibration using vanishing point concept , 1991, Pattern Recognit..

[23]  Nirwan Ansari,et al.  Steering a robot with vanishing points , 1993, IEEE Trans. Robotics Autom..