Shape quantization and recognition with randomized trees
Neural Computation
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Randomized Trees for Real-Time Keypoint Recognition
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Stylized Augmented Reality for Improved Immersion
VR '05 Proceedings of the 2005 IEEE Conference 2005 on Virtual Reality
Making augmented reality practical on mobile phones, part 1
IEEE Computer Graphics and Applications - Special issue on sketching tangible interfaces augmented reality on mobile phones
Augmented reality tour system for immersive experience of cultural heritage
Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry
A tracking framework for augmented reality tours on cultural heritage sites
Proceedings of the 9th ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications in Industry
Image Recognition and Augmented Reality in Cultural Heritage Using OpenCV
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
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We present Reality Filtering, an application that makes it possible to visualize original content like drawings or paintings of buildings and frescos seamlessly superimposed on reality by using filtered augmented reality. This enables simple and inexpensive applications in the cultural heritage and architecture area. The main idea is that the video stream showing the reality is filtered on the fly to acquire the same presentation style as the virtual objects. This allows for a better integration of original historic content and creates the impression of a virtual time journey. The registration of the virtual objects in the video images is provided by a robust 6DOF tracking framework based on two technologies that work in tandem: an initialization step based on Randomized Trees and a frame-to-frame tracking phase based on KLT. For the initialization, we present the novel concept of temporally distributed computational load (TDCL), which is able to automatically detect and register multiple objects while maintaining a constant video frame rate of 20 frames / sec. For mid- to long-range augmentation a pure 2- dimensional tracking with 3DOF is applicable and leads to significant performance gain. The entire application runs in real time on Ultra Mobile PCs.