A loose and sketchy approach in a mediated reality environment
GRAPHITE '05 Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia
Image Composition Based on Blur Estimation from Captured Image for Augmented Reality
VR '06 Proceedings of the IEEE conference on Virtual Reality
High-quality motion deblurring from a single image
ACM SIGGRAPH 2008 papers
PROCAMS '08 Proceedings of the 5th ACM/IEEE International Workshop on Projector camera systems
Augmented reality based on estimation of defocusing and motion blurring from captured images
ISMAR '06 Proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality
High accuracy feature detection for camera calibration: a multi-steerable approach
Proceedings of the 29th DAGM conference on Pattern recognition
Relative importance of depth cues on portable autostereoscopic display
Proceedings of the 3rd workshop on Mobile video delivery
Proceedings of the 17th ACM Symposium on Virtual Reality Software and Technology
Blur kernel estimation using the radon transform
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Simultaneous out-of-focus blur estimation and restoration for digital auto-focusing system
IEEE Transactions on Consumer Electronics
Measuring the discernability of virtual objects in conventional and stylized augmented reality
EGVE'06 Proceedings of the 12th Eurographics conference on Virtual Environments
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In this paper, a depth cue method based on blurring effect in augmented reality is proposed. Distinguished from the previous researches, the proposed method offers an algorithm which, based on the spatial information in the real world and the intrinsic parameters of the camera, estimates the blurring effect in the whole scene. Through one-time checkerboard calibration, the camera parameters are registered, the value of the Point Spread Function parameters is measured and the blur circle radius on a particular position could be predicted for later virtual object rendering. The measurement procedure of the blur circle radius and the estimation algorithm are discussed. A prototype of the proposed AR system is implemented. In the end, an evaluation of the blur circle radius estimation algorithm is provided and the future work of the research is discussed.