The Integrating Resampler and Efficient Image Warping
نویسندگان
چکیده
This paper introduces integrating resamplers as an efficient method for image warping using a class of imaging-consistent reconstruction/restoration algorithms proposed in [Boult and Wolberg-1993]. Examples are given to show the use of the integrating resamplers described herein for two low-level computer vision applications. The first is geometric correction for images degraded by radial lens distortion, demonstrated as a preprocessing step in correlationbased stereo matching. The second is warping-based data fusion for polarization computations in a smallbaseline multi-camera systems. These two applications are chosen because they exemplify the kinds of applications for which the integrating resamplers and the imaging-consistent reconstruction/restoration algorithms are designed–problems that use warped intensity values (as opposed to edge structure).
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