Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Camera-Based Calibration Techniques for Seamless Multiprojector Displays
IEEE Transactions on Visualization and Computer Graphics
Spatial Augmented Reality: Merging Real and Virtual Worlds
Spatial Augmented Reality: Merging Real and Virtual Worlds
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This paper proposes a geometric correction method for projected images using SIFT feature points. A projected image correction method based on projector-camera system needs to obtain the correspondence between projector and camera images, which is obtained by projecting the special patterns on a screen. The special patterns must be re-projected when changing the environment, e.g., the projector or screen is moved. On the other hand, this paper proposes a geometric correction method using SIFT feature points on a projected image which does not employ any special patterns to obtain the correspondence between projector and camera images. Experimental result shows that the use of our proposed method makes it possible to correct distortion of projected images with only one snapshot.