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Abstract This paper presents a data structure that reduces approximate nearest neighbor query times for image patches in large datasets. ... Our fast algorithm allows us to explore efficient and practical imaging and computational photography applications. ... For supporting Liming Lou, we thank Meng Xiangxu and the Chinese Scholarship Council. We thank ShanShan He for the paper video. ...doi:10.1145/2766934 fatcat:mef52q3cgfbxrlxoky3p32htjy
for 3D fabrication. ... This paper surveys the state-of-the-art of research in patch-based synthesis. Patch-based methods synthesize output images by copying small regions from exemplar imagery. ... Acknowledgements Thanks to Professor Shi-Min Hu at Tsinghua University for his support in this project. Thanks to the National Science Foundation for support under Grants CCF 0811493 and CCF 0747220. ...doi:10.1007/s41095-016-0064-2 fatcat:ud7p2un25jb7tkjqtf5suaioia
We present a novel method to produce discernible image mosaics, with relatively large image tiles replaced by images drawn from a database, to resemble a target image. ... Visual comparisons with existing techniques demonstrate the superiority of our method in terms of mosaic quality and perceptibility. ... Acknowledgements We thank the anonymous reviewers and the editors for their valuable comments. This work was supported in part by the National Natural Science ...doi:10.1007/s41095-019-0130-7 fatcat:42vocroa3bdfxobqpceb5laxti
The focus of our work is the development and adaptation of kernel functions for decoding of neural activity and for image categorisation. ... For example in the applications presented below these objects are time series of neural activity and images described by a collection of local descriptors. ... As a consequence we consider two largely entangled, although different motivations for reconstruction -gaining scientific insight and engineering technical applications. ...doi:10.14279/depositonce-1547 fatcat:grrgwdsexzgs7l65ab66ynma74