Integer and combinatorial optimization
Integer and combinatorial optimization
Finding point correspondences in motion sequences preserving affine structure
Computer Vision and Image Understanding
A Global Solution to Sparse Correspondence Problems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-camera Scene Reconstruction via Graph Cuts
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
3D object recognition based on canonical angles between shape subspaces
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
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The 3D object recognition from a single or multiple 2D images is a very important problem in the computer vision ??eld with a wide range of real applications. Considering the affine cameramodel, the main issue in solving this problem is the matching process between the object's 3D points and their 2D projections. In this work, we tackle the 3D-2D matching problem. It is formulated as a finite set of independent linear programs, solved efficiently. The 2D-2D and 3D-3D are also discussed. To show the validity of the proposed method, synthetic and real experiments are performed.