Depth superresolution by transduction

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
Bumsub HamKwanghoon Sohn

Abstract

This paper presents a depth superresolution (SR) method that uses both of a low-resolution (LR) depth image and a high-resolution (HR) intensity image. We formulate depth SR as a graph-based transduction problem. In particular, the HR intensity image is represented as an undirected graph, in which pixels are characterized as vertices, and their relations are encoded as an affinity function. When the vertices initially labeled with certain depth hypotheses (from the LR depth image) are regarded as input queries, all the vertices are scored with respect to the relevances to these queries by a classifying function. Each vertex is then labeled with the depth hypothesis that receives the highest relevance score. We design the classifying function by considering the local and global structures of the HR intensity image. This approach enables us to address a depth bleeding problem that typically appears in current depth SR methods. Furthermore, input queries are assigned in a probabilistic manner, making depth SR robust to noisy depth measurements. We also analyze existing depth SR methods in the context of transduction, and discuss their theoretic relations. Intensive experiments demonstrate the superiority of the proposed method ove...Continue Reading

References

Sep 21, 2004·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Zhou WangEero P Simoncelli
Oct 7, 2006·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Jingrui HeChangshui Zhang
Aug 2, 2011·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Dongbo MinMinh N Do
Mar 27, 2013·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Bumsub HamKwanghoon Sohn
May 18, 2013·IEEE Transactions on Pattern Analysis and Machine Intelligence·Tae Hoon KimSang Uk Lee
Aug 22, 2013·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Qingxiong YangGang Wang
Nov 5, 2013·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Sebastian SchwarzRoger Olsson
Apr 12, 2014·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society· Xianming Liu Huifang Sun
Nov 6, 2014·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Dongbo MinMinh Do
Sep 10, 2015·IEEE Transactions on Pattern Analysis and Machine Intelligence·Qingxiong Yang

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Citations

Aug 24, 2016·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Youngjung KimKwanghoon Sohn
Nov 11, 2016·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Srimanta MandalAnil Kumar Sao
May 6, 2017·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society· Haijun Wang Jie Li

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