We present a range sensing method based on monocular computer vision. The method exploits the physical effect that the imaging properties of an optical system depend on the acquisition parameters and the object distance. Basic principle is to compare the blur in a couple of defocused images of the same scene, taken with different apertures (depth-from-defocus). Our approach is working along the edges, but not restricted to ideal step edges.<>
Monocular depth perception by evaluation of the blur in defocused images
Proceedings of 1st International Conference on Image Processing ; 2 ; 116-119 vol.2
1994-01-01
327479 byte
Conference paper
Electronic Resource
English
Monocular Depth Perception by Evaluation of the Blur in Defocused Images
British Library Conference Proceedings | 1994
|Space-Variant Approaches to Recovery of Depth from Defocused Images
British Library Online Contents | 1997
|Optimal Recovery of Depth from Defocused Images using an MRF Model
British Library Conference Proceedings | 1998
|Observing Shape from Defocused Images
British Library Online Contents | 2003
|