Fully Automated and Stable Registration for Augmented Reality Applications
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
SVD-matching using SIFT features
Graphical Models - Special issue on the vision, video and graphics conference 2005
Point matching as a classification problem for fast and robust object pose estimation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Vision-based 3D object localization using probabilistic models of appearance
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
An efficient 3d registration method using markerless image in AR-Based CNC machining simulation
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
Robust pose estimation with 3d textured models
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
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A strategy combining advantages of view-based and model-based object recognition approaches has been developed. Textured 3D models are used to produce local appearances of object key-points. Correspondences between 3D points and local appearances are also established during this learning stage. The recognition consists first in matching these local appearances and those extracted from the image. Robust 3D pose estimation is then carried out, discarding spurious correspondences. This algorithm is computationally very efficient. It can analyze images including several objects and can handle partial object occultations as well as important changes of brightness and contrast.