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<div><div style="color: rgb(49, 53, 59); line-height: 22.4px;"><span style="font-family: 微软雅黑; line-height: 22.4px;">Apologies for cross-posting</span></div><div style="color: rgb(49, 53, 59); line-height: 22.4px;"><span style="font-family: 微软雅黑; line-height: 22.4px;">******************************</span><wbr style="font-family: 微软雅黑; line-height: 22.4px;"><span style="font-family: 微软雅黑; line-height: 22.4px;">*</span></wbr></div><div style="color: rgb(49, 53, 59); line-height: 22.4px;"><span style="font-family: 微软雅黑; line-height: 22.4px;"><br style="font-family: Verdana, 微软雅黑, 宋体, sans-serif !important;"></span></div><div style="color: rgb(49, 53, 59); line-height: 22.4px;"><span style="font-family: 微软雅黑; line-height: 22.4px;">CALL FOR PAPERS:</span></div><div style="color: rgb(49, 53, 59); line-height: 22.4px;"><span style="font-family: 微软雅黑; line-height: 22.4px;"><br style="font-family: Verdana, 微软雅黑, 宋体, sans-serif !important;"></span></div><div style="color: rgb(49, 53, 59); line-height: 22.4px;"><div style="line-height: 22.4px;"><span style="font-family: 微软雅黑; line-height: 22.4px;">Website:</span></div><div style="line-height: 22.4px;"><a href="https://www.journals.elsevier.com/pattern-recognition-letters/call-for-papers/special-issue-on-avc-maa-advances-in-visual-correspondence-m" _src="https://www.journals.elsevier.com/pattern-recognition-letters/call-for-papers/special-issue-on-avc-maa-advances-in-visual-correspondence-m">https://www.journals.elsevier.com/pattern-recognition-letters/call-for-papers/special-issue-on-avc-maa-advances-in-visual-correspondence-m</a></div><div style="line-height: 22.4px;"><br></div><div style="line-height: 22.4px;">Pattern Recognition Letters:<br><br></div><div style="line-height: 22.4px;">Special Issue on "AVC-MAA: Advances in Visual Correspondence: Models, Algorithms and Applications"</div><div style="line-height: 22.4px;"><br></div></div><div style="color: rgb(49, 53, 59); line-height: 22.4px;"><span style="font-family: 微软雅黑; line-height: 22.4px;"><br style="font-family: Verdana, 微软雅黑, 宋体, sans-serif !important;"></span></div><div style="color: rgb(49, 53, 59); line-height: 22.4px;"><div><font style="line-height: 1.5;">Visual correspondence is a key problem in many computer vision and pattern recognition tasks. The past decades have witnessed the rapid expansion of the frontier for automatic correspondence establishment among images/graphics, which is largely due to the advances in computational capacity, data availability and new algorithmic paradigms. Although the visual correspondence problem has been extensively studied in the context of multi-view geometry, its more generalized forms, along with underlying connections among different methods and settings, have not been fully explored. Meanwhile, the combination of big visual data and the deep learning paradigm has achieved significant success in many perceptual tasks; however, the existing paradigm is still far from a panacea to the correspondence problem, which often calls for more careful treatments on the local and global structures. In this special issue, we attempt to assemble recent advances in the correspondence problem, considering the explosions of big visual data applications and the deep learning algorithms.</font></div><div><font style="line-height: 1.5;"><br></font></div><div><font style="line-height: 1.5;">This special issue will feature original research papers related to the models and algorithms for robust establishment of correspondence, together with applications to real-world problems. The main topics of interest (but are not limited to):</font></div><div><font style="line-height: 1.5;"><br></font></div><div><font style="line-height: 1.5;">-- Graph matching and image registration: 1) Graph representation and modeling by using image/ graphics data; 2) Robust matching/registration theory and approaches for establishing visual correspondences over two or more images/graphics; 3) Partial, one-to-many or many-to-many matching models and algorithms, especially with major noise and outliers; 4) Similarity between graphs/graphics and graph clustering/classification. 5) Cross-network matching.</font></div><div><font style="line-height: 1.5;"><br></font></div><div><font style="line-height: 1.5;">-- Tracking and optical flow: 1) Multiple object tracking and association; 2) Robust and/or efficient optical flow methods; 3) Visual trajectory analytics; 4) Person Re-ID.</font></div><div><font style="line-height: 1.5;"><br></font></div><div><font style="line-height: 1.5;">-- Correspondence for 3-D vision: 1) Calibration, pose estimation and visual SLAM; 2) Depth estimation and 3-D reconstruction.</font></div><div><font style="line-height: 1.5;"><br></font></div><div><font style="line-height: 1.5;">-- Learning for/by matching: 1) Learning graph structure and similarity from data with established or unestablished correspondences; 2) Learning image feature representation from established or loosely established correspondence; 3) Common/similar objects discovery and recognition from images.</font></div><div><font style="line-height: 1.5;"><br></font></div><div><font style="line-height: 1.5;">-- Applications: Application of correspondence technology to solve any real-world image understanding problems including object detection/recognition among images/graphics, image stitching, 2-D/3-D recovery, robot vision, photogrammetry and remote sensing, industrial imaging, embed system etc.</font></div><div><font style="line-height: 1.5;"><br></font></div><div><font style="line-height: 1.5;">Key Deadlines/dates:</font></div><div><font style="line-height: 1.5;"><br></font></div><div><font style="line-height: 1.5;">Submission period: May 1-31, 2018</font></div><div><font style="line-height: 1.5;">First review notification: July 30, 2018</font></div><div><font style="line-height: 1.5;">Revised submission due: September 20, 2018</font></div><div><font style="line-height: 1.5;">Notification of second-round review: October 20, 2018</font></div><div><font style="line-height: 1.5;">Second revised submission due (if necessary): November 30, 2018</font></div><div><font style="line-height: 1.5;">Deadline notice of acceptance/rejection: January 15, 2019</font></div><div><font style="line-height: 1.5;"><br></font></div><div><font style="line-height: 1.5;">Submission Instructions: Prospective authors are invited to upload their manuscripts during the submission period. All the papers will be peer-reviewed following the Pattern Recognition Letters reviewing procedures. Papers should be prepared by adhering to the PRLetters guidelines at https://www.elsevier.com/journals/pattern-recognition-letters/0167-8655/guide-for-authors/.</font></div><div><font style="line-height: 1.5;"><br></font></div><div><font style="line-height: 1.5;">When submitting their papers through the online system, authors should select the acronym “SI: AVC-MMA”to make it clear that they are submitting to this SI. Contributors will be informed that their papers should not have been published previously, nor be under consideration for publication elsewhere. If some papers are extended versions of conference papers, the PRLetters submission should include at least 30% new contribution (more experiments, proofs of theorems not included in the conference paper, more comparisons with other methods in the literature and so on); of course the title of the PRLetters paper should be different, the same Figures cannot be used and the common part of the conference paper and of the extended versions cannot be verbatim the same. Guest editors will make an initial determination of the suitability and scope of all submissions.</font></div></div></div></div><style type="text/css">
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