{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T20:41:43Z","timestamp":1761597703913,"version":"3.41.0"},"reference-count":28,"publisher":"SPIE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,4,29]]},"DOI":"10.1117\/12.2230495","type":"proceedings-article","created":{"date-parts":[[2016,4,29]],"date-time":"2016-04-29T22:32:02Z","timestamp":1461969122000},"page":"98970V","source":"Crossref","is-referenced-by-count":12,"title":["A computationally efficient denoising and hole-filling method for depth image enhancement"],"prefix":"10.1117","volume":"9897","author":[{"given":"Soulan","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chen","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nasser","family":"Kehtarnavaz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"189","reference":[{"doi-asserted-by":"crossref","unstructured":"Chen, C., Liu, K., Jafari, R. and Kehtarnavaz, N., \u201cHome-based senior fitness test measurement system using collaborative inertial and depth sensors,\u201d Proc. Engineering in Medicine and Biology Society (EMBC), 4135-4138 (2014).","key":"c1","DOI":"10.1109\/EMBC.2014.6944534"},{"doi-asserted-by":"crossref","unstructured":"Chen, C., Kehtarnavaz, N. and Jafari, R., \u201cA medication adherence monitoring system for pill bottles based on a wearable inertial sensor,\u201d Proc. Engineering in Medicine and Biology Society (EMBC), 4983-4986 (2014).","key":"c2","DOI":"10.1109\/EMBC.2014.6944743"},{"doi-asserted-by":"publisher","key":"c3","DOI":"10.1109\/THMS.2014.2362520"},{"doi-asserted-by":"publisher","key":"c4","DOI":"10.1109\/JSEN.2015.2487358"},{"key":"c5","first-page":"613","article-title":"Gradient local auto-correlations and extreme learning machine for depth-based activity recognition","author":"Chen","year":"2015"},{"doi-asserted-by":"crossref","unstructured":"Chen, C., Jafari, R., & Kehtarnavaz, N., \u201cAction recognition from depth sequences using depth motion maps-based local binary patterns,\u201d Proc. IEEE Winter Conference on Applications of Computer Vision, 1092-1099 (2015).","key":"c6","DOI":"10.1109\/WACV.2015.150"},{"unstructured":"Ni, B., Moulin, P., Yang, X., and Yan, S., \u201cMotion part regularization: improving action recognition via trajectory selection,\u201d Proc. IEEE Conference on Computer Vision and Pattern Recognition, 3698-3706 (2015).","key":"c7"},{"doi-asserted-by":"publisher","key":"c8","DOI":"10.1016\/j.eij.2015.05.002"},{"doi-asserted-by":"crossref","unstructured":"Chakraborty, B., Holte, M. B., Moeslund, T. B., Gonzalez, J., and Roca, F. X., \u201cA selective spatio-temporal interest point detector for human action recognition in complex scenes,\u201d Proc. IEEE International Conference on Computer Vision, 1776-1783 (2011).","key":"c9","DOI":"10.1109\/ICCV.2011.6126443"},{"doi-asserted-by":"crossref","unstructured":"Laptev, I., Marszalek, M., Schmid, C., and Rozenfeld, B., \u201cLearning realistic human actions from movies,\u201d Proc. IEEE Conference on Computer Vision and Pattern Recognition, 1-8 (2008).","key":"c10","DOI":"10.1109\/CVPR.2008.4587756"},{"doi-asserted-by":"crossref","unstructured":"Saygili, G., van der Maaten, L., and Hendriks, E. A., \u201cHybrid kinect depth map refinement for transparent objects,\u201d Proc. International Conference on Pattern Recognition, 2751-2756 (2014).","key":"c11","DOI":"10.1109\/ICPR.2014.474"},{"doi-asserted-by":"publisher","key":"c12","DOI":"10.3390\/s140711362"},{"unstructured":"Tornasi, C., and Manduchi, R., \u201cBilateral filtering for gray and color images,\u201d Proc. International Conference on Computer Vision, 839-846 (1998).","key":"c13"},{"doi-asserted-by":"crossref","unstructured":"Camplani, M., and Salgado, L., \u201cEfficient spatio-temporal hole filling strategy for kinect depth maps,\u201d Proc. IS&T\/SPIE Electronic Imaging, 82900E-82900E (2012).","key":"c14","DOI":"10.1117\/12.911909"},{"doi-asserted-by":"publisher","key":"c15","DOI":"10.1145\/1015706"},{"doi-asserted-by":"publisher","key":"c16","DOI":"10.1109\/TCSVT.2012.2203734"},{"doi-asserted-by":"crossref","unstructured":"Liu, S., Wang, Y., Wang, J., Wang, H., Zhang, J., and Pan, C., \u201cKinect depth restoration via energy minimization with TV21 regularization,\u201d Proc. IEEE International Conference on Image Processing, 724-724 (2013).","key":"c17","DOI":"10.1109\/ICIP.2013.6738149"},{"doi-asserted-by":"crossref","unstructured":"Chen, C., Cai, J., Zheng, J., Cham, T. J., and Shi, G., \u201cA color-guided, region-adaptive and depth-selective unified framework for Kinect depth recovery,\u201d Proc. IEEE 15th International Workshop on Multimedia Signal Processing, 7-12 (2013).","key":"c18","DOI":"10.1109\/MMSP.2013.6659255"},{"unstructured":"https:\/\/en.wikipedia.org\/wiki\/Anisotropic_filtering.","key":"c19"},{"doi-asserted-by":"publisher","key":"c20","DOI":"10.1080\/10867651.2004.10487596"},{"doi-asserted-by":"publisher","key":"c21","DOI":"10.1109\/TIP.2014.2329776"},{"doi-asserted-by":"publisher","key":"c22","DOI":"10.1016\/j.cmpb.2014.09.005"},{"unstructured":"http:\/\/vision.middlebury.edu\/stereo\/data\/scenes2005\/","key":"c23"},{"doi-asserted-by":"publisher","key":"c24","DOI":"10.1109\/TPAMI.2012.213"},{"unstructured":"Liu, J., Gong, X., and Liu, J., \u201cGuided inpainting and filtering for Kinect depth maps,\u201d Proc. International Conference on Pattern Recognition, 2055-2058 (2012).","key":"c25"},{"doi-asserted-by":"crossref","unstructured":"Xia, L., Chen, C. C., and Aggarwal, J. K., \u201cView invariant human action recognition using histograms of 3d joints,\u201d Proc. IEEE Conference on Computer Vision and Pattern Recognition Workshops, 20-27 (2012).","key":"c26","DOI":"10.1109\/CVPRW.2012.6239233"},{"doi-asserted-by":"publisher","key":"c27","DOI":"10.1016\/j.imavis.2003.12.004"},{"doi-asserted-by":"crossref","unstructured":"Fan, J., Wu, Y., and Dai, S., \u201cDiscriminative spatial attention for robust tracking,\u201d Proc. European Conference on Computer Vision, 480-493 (2010).","key":"c28","DOI":"10.1007\/978-3-642-15549-9_35"}],"event":{"name":"SPIE Photonics Europe","location":"Brussels, Belgium"},"container-title":["SPIE Proceedings","Real-Time Image and Video Processing 2016"],"original-title":[],"deposited":{"date-parts":[[2025,6,2]],"date-time":"2025-06-02T23:10:28Z","timestamp":1748905828000},"score":1,"resource":{"primary":{"URL":"http:\/\/proceedings.spiedigitallibrary.org\/proceeding.aspx?doi=10.1117\/12.2230495"}},"subtitle":[],"editor":[{"given":"Nasser","family":"Kehtarnavaz","sequence":"first","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]},{"given":"Matthias F.","family":"Carlsohn","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2016,4,29]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1117\/12.2230495","relation":{},"ISSN":["0277-786X"],"issn-type":[{"type":"print","value":"0277-786X"}],"subject":[],"published":{"date-parts":[[2016,4,29]]}}}