Depth image simplification
Copyright policy ) V. Hernández Arreola; F. J. Renero Carrillo; R. Díaz Hernández;
Depth image simplification
The stereoscopic vision is widely used to acquire depth information, distances between objects, as well as obstacle detection. In this work, a method that reduces the amount of data to obtain depth information for a specific scenery is proposed. The method reduces a 640x480 size image to a 3x3 matrix, simplifying the instructions and decision making for an actuating device. Excellent results were obtained with a 3 seconds processing time by using Python 3.7.2, Opencv 4.0.1, and two Logitech C170 web cameras.
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
Average
Average
Average
gold