Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Embedding Imperceptible Patterns into Projected Images for Simultaneous Acquisition and Display
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Moveable interactive projected displays using projector based tracking
Proceedings of the 18th annual ACM symposium on User interface software and technology
Radiometric Compensation in a Projector-Camera System Based Properties of Human Vision System
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Surface-Independent direct-projected augmented reality
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Tracking locations of moving hand-held displays using projected light
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Undistorted projection onto dynamic surface
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
The visual computing of projector-camera systems
ACM SIGGRAPH 2008 classes
VirtualStudio2Go: digital video composition for real environments
ACM SIGGRAPH Asia 2008 papers
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In direct-projected augmented reality, the visual patterns for compensation may distract users despite users would not be interested in the compensation process. The distraction becomes more serious for dynamic projection surface in which compensation and display should be done simultaneously. Recently, a complementary pattern-based method of efficiently hiding the compensation process from users' view has been proposed. However, the method faced the tradeoff between the pattern imperceptibility and compensation accuracy. In this paper, we embed locally different strength of pattern images into different channels of the projector input images (AR images) after analyzing their spatial variation and color distribution. It is demonstrated that our content adaptive approach can significantly improve the imperceptibility of the patterns and produce better compensation results by comparing it with the previous approach through a variety of experiments and subjective evaluation.