, a high resolution result that prevents image blurring can be obtained. Our multi-scale joint bilateral upsampling applies a spatial filter on each multi-scale layer of the syn-thesized texture, and jointly applies a similar range filter on exemplar texture, which guides the interpolation from low

to preserve the content, we introduce the structure constraints derived from the line detection into the large linear system. Then, the mapping matrices are enlarged to the original size by joint-bilateral upsampling and the resized image can be produced to preserve the content and structure as best as pos

-res/low-res camera pair. We recover a low-res disparity map of the scene using GPU-based Belief Propagation and subsequently upsample it via fast Cross/Joint Bilateral Upsampling. With the recovered high-resolution disparity map, we warp the high-resolution video stream to nearby viewpoints to synthesize a light

construct a hybrid-resolution stereo camera with a high-res/low-res camera pair. We recover a low-res disparity map of the scene using GPU-based Belief Propagation and subsequently upsample it via fast Cross/Joint Bilateral Upsampling. With the recovered high-resolution disparity map, we warp the high

construct a hybrid-resolution stereo camera with a high-res/low-res camera pair. We recover a low-res disparity map of the scene using GPU-based Belief Propagation, and subsequently upsample it via fast Cross/Joint Bilateral Upsampling. With the recovered high-resolution disparity map, we warp the high

between the projected estimate of the high-resolution image and each low-resolution image, removing outliers in the data and errors due to possibly inaccurate motion estimation. Bilateral regularization is used for spatially regularizing the luminance component, resulting in sharp edges and forcing

-sor hardware limitations or estimation errors. In this paper, we propose a new method to enhance noisy or low-resolution depth maps using high-resolution color images. Our method is based on sample selection and refinement in conjunction with multi-lateral filtering, a method derived from joint bilat-eral

education on the internet, free of charge, a real possibility. At this pivotal moment it is appropriate to explore the potential for obtaining comprehensive bioinformatics training with currently existing free video resources. This article pre-sents such a bioinformatics curric-ulum in the form of a virtual

playing the strongest role in the illusion, participants performed the same duration rating task on three kinds of long and short gesture videos (two of which are shown in Example 9); pre-impact (showing only the motion up until the moment of impact, at which point they displayed a still image