Method and system for regression-based object detection in...

Details Method and system for regression-based object detection in... Method and system for regression-based object detection in...

2011-05-24

2011-05-24

Azarian, Seyed (Department: 2624)

Image analysis

Applications

Biomedical applications

C382S159000, C378S020000

Reexamination Certificate

active

07949173

ABSTRACT:
A method and system for regression-based object detection in medical images is disclosed. A regression function for predicting a location of an object in a medical image based on an image patch is trained using image-based boosting ridge regression (IBRR). The trained regression function is used to determine a difference vector based on an image patch of a medical image. The difference vector represents the difference between the location of the image patch and the location of a target object. The location of the target object in the medical image is predicted based on the difference vector determined by the regression function.

REFERENCES:
patent: 7016881 (2006-03-01), Li et al.
patent: 7024033 (2006-04-01), Li et al.
patent: 7099505 (2006-08-01), Li et al.
patent: 2005/0013479 (2005-01-01), Xiao et al.
patent: 2005/0280809 (2005-12-01), Hidai et al.
patent: 2006/0147107 (2006-07-01), Zhang et al.
patent: 2007/0003147 (2007-01-01), Viola et al.
patent: 2007/0071313 (2007-03-01), Zhou et al.
Viola, P. et al. “Rapid Object Detection Using a Boosted Cascade of Simple Features,”In Proc. Conference on Computer Vision and Pattern Recognition, (2001).
Zhou, S.K. et al., “Image Based Regression Using Boosting Method,”Tenth IEEE International conference on Computer Vision, (2005).

Affiliated with

Also associated with

Rating

Method and system for regression-based object detection in... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Method and system for regression-based object detection in..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and system for regression-based object detection in... will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-2632860