Using vanishing points for camera calibration
International Journal of Computer Vision
Resolving occlusion in augmented reality
I3D '95 Proceedings of the 1995 symposium on Interactive 3D graphics
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
3-D reconstruction of urban scenes from image sequences
Computer Vision and Image Understanding - Special issue on CAD-based computer vision
LDI tree: a hierarchical representation for image-based rendering
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
International Journal of Computer Vision
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Image-based rendering of diffuse, specular and glossy surfaces from a single image
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
A signal-processing framework for inverse rendering
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Calibration-Free Augmented Reality
IEEE Transactions on Visualization and Computer Graphics
Realtime Camera Calibration for Enhanced Reality Visualization
CVRMed '95 Proceedings of the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine
PhotoBuilder -- 3D Models of Architectural Scenes from Uncalibrated Images
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
The use of vanishing point for the classification of reflections from foreground mask in videos
IEEE Transactions on Image Processing
Hi-index | 0.00 |
This paper discusses the problem of inserting three-dimensional models into a single image. The main focus of the paper is on the accurate recovery of the camera's parameters, so that 3D models can be inserted in the "correct" position and orientation. An important aspect of this paper is a theoretical and an experimental analysis of the errors. We also implemented a system which "plants" virtual 3D objects in the image, and tested the system on many indoor augmented reality scenes. Our analysis and experiments have shown that errors in the placement of the objects are un-noticeable.