Least-Squares Fitting of Two 3-D Point Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical geometric models for visible surface algorithms
Communications of the ACM
Real-time simulation of arbitrary visual fields
ETRA '02 Proceedings of the 2002 symposium on Eye tracking research & applications
Computer Vision: A Modern Approach
Computer Vision: A Modern Approach
A Developer's Survey of Polygonal Simplification Algorithms
IEEE Computer Graphics and Applications
Perceptually guided simplification of lit, textured meshes
I3D '03 Proceedings of the 2003 symposium on Interactive 3D graphics
Gaze-directed Adaptive Rendering for Interacting with Virtual Space
VRAIS '96 Proceedings of the 1996 Virtual Reality Annual International Symposium (VRAIS 96)
Level of Detail for 3D Graphics
Level of Detail for 3D Graphics
Patchlets: Representing Stereo Vision Data with Surface Elements
WACV-MOTION '05 Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'05) - Volume 1 - Volume 01
A Factored Approach to Subdivision Surfaces
IEEE Computer Graphics and Applications
Acuity-matching resolution degradation through wavelet coefficient scaling
IEEE Transactions on Image Processing
Integrating perceptual level of detail with head-pose estimation and its uncertainty
Machine Vision and Applications
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In virtual environments, head pose and/or eye-gaze estimation can be employed to improve the visual experience of the user by enabling adaptive level of detail during rendering. In this study, we present a real-time system for rendering complex scenes in an immersive virtual environment based on head pose estimation and perceptual level of detail. In our system, the position and orientation of the head are estimated using stereo vision approach and markers placed on a pair of glasses used to view images projected on a stereo display device. The main innovation of our work is the incorporation of uncertainty estimates to improve the visual experience perceived by the user. The estimated pose and its uncertainty are used to determine the desired level of detail for different parts of the scene based on criteria originating from physiological and psychological aspects of human vision. Subject tests have been performed to evaluate our approach.