Recognition of partially occluded objects is an important task in a general 3D scene understanding. We focused our research to recognition of binary 2D objects with complicated curved boundary. Such a boundary cannot be approximated by a polygon without loss of accuracy and the object cannot be identified by its surface. We model the objects deformation by an unknown affine deformation. It was proved in our experiments that the affine transformation is a good approximation for analyze of 2D images on a 3D scene.
A new method has been developed. It consists of three steps:
Our experiment proved a good discrimination power of the developed method. The tests on 24 objects database, test on noisy data and test on real images have been done. We have found that the principal limitation remains the stability of the inflection points.
Our curvature estimation (used in step one) has found its use in psychological research. We have generated images with minimum of contour points so that the image could be recognized by a human.
|Funding:||Czech Ministry of Education under the Project No. 1M6798555601 (Research Center DAR), GA CR 102/04/0155|
|Web:||special project page|
|Contact person:||Ondřej Horáček|
|Involved people:||Ondřej Horáček, Jan Kamenický, Jan Flusser|
|Involved extern:||Ernest Greene from University of Southern California, USA|
|Author's version in pdf: Horacek - Recognition of partially occluded and deformed binary objects||570.42 KB|