NDLI: Fast Non-Rigid Surface Detection, Registration and Realistic Augmentation

Content Provider	Springer Nature Link
Author	Pilet, Julien Lepetit, Vincent Fua, Pascal
Copyright Year	2007
Abstract	We present a real-time method for detecting deformable surfaces, with no need whatsoever for a priori pose knowledge.Our method starts from a set of wide baseline point matches between an undeformed image of the object and the image in which it is to be detected. The matches are used not only to detect but also to compute a precise mapping from one to the other. The algorithm is robust to large deformations, lighting changes, motion blur, and occlusions. It runs at 10 frames per second on a 2.8 GHz PC.We demonstrate its applicability by using it to realistically modify the texture of a deforming surface and to handle complex illumination effects.Combining deformable meshes with a well designed robust estimator is key to dealing with the large number of parameters involved in modeling deformable surfaces and rejecting erroneous matches for error rates of more than 90%, which is considerably more than what is required in practice.
Starting Page	109
Ending Page	122
Page Count	14
File Format	PDF
ISSN	09205691
Journal	International Journal of Computer Vision
Volume Number	76
Issue Number	2
e-ISSN	15731405
Language	English
Publisher	Springer US
Publisher Date	2007-01-03
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Non-rigid detection Non-rigid augmented reality Real-time deformable registration Pattern Recognition Image Processing and Computer Vision Artificial Intelligence (incl. Robotics) Computer Imaging, Vision, Pattern Recognition and Graphics
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Vision and Pattern Recognition Software

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