The application of an anthropomorphic, retina-like visual sensor for optical flow and depth estimation is presented. The main advantage, obtained with the non-uniform sampling, is considerable data reduction, while a high spatial resolution is preserved in the part of the field of view corresponding to the focus of attention. As for depth estimation, a tracking egomotion strategy is adopted which greatly simplifies the motion equations, and naturally fits with the characteristics of the retinal sensor (the displacement is smaller wherever the image resolution is higher). A quantitative error analysis is carried out, determining the uncertainty of range measurements. An experiment, performed on a real image sequence, is presented.
Estimation of Depth from Motion Using an Anthropomorphic Visual Sensor / Tistarelli, Massimo; Sandini, G.. - In: IMAGE AND VISION COMPUTING. - ISSN 0262-8856. - 8:4(1990), pp. 271-278. [doi>10.1016/0262-8856(90)80003-C]
Estimation of Depth from Motion Using an Anthropomorphic Visual Sensor
TISTARELLI, Massimo;
1990-01-01
Abstract
The application of an anthropomorphic, retina-like visual sensor for optical flow and depth estimation is presented. The main advantage, obtained with the non-uniform sampling, is considerable data reduction, while a high spatial resolution is preserved in the part of the field of view corresponding to the focus of attention. As for depth estimation, a tracking egomotion strategy is adopted which greatly simplifies the motion equations, and naturally fits with the characteristics of the retinal sensor (the displacement is smaller wherever the image resolution is higher). A quantitative error analysis is carried out, determining the uncertainty of range measurements. An experiment, performed on a real image sequence, is presented.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.