Computer vision system to detect 3-D rectangular objects

Image analysis – Pattern recognition – Feature extraction

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

382199, 382286, G06K 946

Patent

active

056664419

ABSTRACT:
In general, the invention includes a method and system of rectangular solid detection comprising: receiving an image of data; detecting edges from the image of data; finding lines from the image of data; finding junctions from the lines; filtering junctions and lines that meet a first set of certain criteria; grouping the junctions and lines that meet a second set of certain criteria; and detecting whether a rectangular solid exists in the image according to the grouping. The criteria includes using triplets of lines and fork junctions. The system and method may also analyze a single frame, or a single frame paired with a reference frame.

REFERENCES:
patent: 4249207 (1981-02-01), Harman et al.
patent: 5093869 (1992-03-01), Alves et al.
patent: 5210799 (1993-05-01), Rao
patent: 5291563 (1994-03-01), Maeda
Dhome et al., "Determination of Attitude of 3-D Objects from a Single Perspective View," IEEE Trans. Pattern Anal. Machine Intell., vol. 11, No. 12, pp. 1265-1278, Dec. 1989.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Computer vision system to detect 3-D rectangular objects does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Computer vision system to detect 3-D rectangular objects, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Computer vision system to detect 3-D rectangular objects will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-75095

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.