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Video stitching requires proper seam cutting technique to decide the boundary of the sub video volume cropped from source videos. In theory, approaches such as 3D graph-cuts that search the entire spatiotemporal volume for a cutting surface should provide the best results. However, given the tremendous data size of the camera array video source, the 3D graph-cuts algorithm is extremely resource-demanding...
Image stitching has been developed to enhance users' immersive experiences by constructing new images of higher spatial resolution and broader field of view from multiple input images. Most image stitching schemes assume 2D transformation of the whole frame between images. There usually exist local misalignments of contents that do not match with the transformation and may cause artifacts such as...
In many applications, users desire to access a random viewing angle of a scene in high resolution while this specifically queried imagery is not among the acquired sample images. In theory, 3D reconstruction based rendering can generate such an image. However, accurate camera calibration over large scale photo collections is needed and is highly complex in nature. Image stitching based approachescan...
Hand-held mobile phone photography usually suffers from motion blur. Without information about the camera motion, it is difficult for traditional methods to remove such blur. We study sensor-assisted single image deblurring on modern smartphones. Information about the camera motion is obtained from the smartphones' built-in sensors such as ac-celerometers, gyroscopes, and magnetometers. Addressing...
Smartphone cameras are often used to take pictures and videos because so many people now carry their smartphones everywhere. Therefore, smartphone camera quality plays an important role in overall smartphone evaluation and usage. Although smartphone camera quality has been continually improving, mobile media processing can provide significant enhancements. The authors discuss mobile media processing...
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