Image analysis – Learning systems – Trainable classifiers or pattern recognizers
Reexamination Certificate
2011-06-21
2011-06-21
Werner, Brian P (Department: 2624)
Image analysis
Learning systems
Trainable classifiers or pattern recognizers
C382S195000, C382S203000, C382S229000
Reexamination Certificate
active
07965886
ABSTRACT:
The present invention provides a computer implemented process for detecting multi-view multi-pose objects. The process comprises training of a classifier for each intra-class exemplar, training of a strong classifier and combining the individual exemplar-based classifiers with a single objective function. This function is optimized using the two nested AdaBoost loops. The first loop is the outer loop that selects discriminative candidate exemplars. The second loop, the inner loop selects the discriminative candidate features on the selected exemplars to compute all weak classifiers for a specific position such as a view/pose. Then all the computed weak classifiers are automatically combined into a final classifier (strong classifier) which is the object to be detected.
REFERENCES:
patent: 7024033 (2006-04-01), Li et al.
patent: 2006/0062451 (2006-03-01), Li et al.
patent: 2008/0235165 (2008-09-01), Movellan et al.
Han Feng
Kumar Rakesh
Sawhney Harpreet Singh
Shan Ying
Lowenstein Snalder PC
SRI - International
Werner Brian P
LandOfFree
System and method for detection of multi-view/multi-pose... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with System and method for detection of multi-view/multi-pose..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and System and method for detection of multi-view/multi-pose... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2707325