DocumentCode :
2043493
Title :
Distance Measurement in Panorama
Author :
Jiang, Zhongding ; Jiang, Nan ; Wang, Yijie ; Zang, Binyu
Author_Institution :
Fudan Univ., Shanghai
Volume :
6
fYear :
2007
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
Computing world distances of scene features from the captured images is a common task in image analysis and scene understanding. Previous projective geometry based methods focus on measuring distance from one single image. Hence, the scope of measurable scene is limited by the field-of-view (FOV) of one single camera. In this paper, we propose one method of measuring distances of line segments in real world scene using panorama representation. With a full view panorama, the scope of measurable scene is increased and can fully cover the sphere of 360 times 360 FOV. With panorama representation, distance of long-range features, which can not be fully captured by a single image, can be measured from the panoramic image. A prototype system called PanoMeasure is developed for enabling user to interactively measure the distances of line segments. Experiments with simulated data and real measurement results verify that the method offers high accuracy.
Keywords :
feature extraction; image representation; video cameras; camera field-of-view; image scene understanding; panoramic image representation; projective geometry based method; scene feature distance measurement; Cameras; Distance measurement; Geometry; Image segmentation; Layout; Matrix converters; Mice; Prototypes; Rendering (computer graphics); Ultrasonic variables measurement; distance measurement; panorama;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1522-4880
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2007.4379604
Filename :
4379604
Link To Document :
بازگشت