{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,19]],"date-time":"2025-10-19T06:08:30Z","timestamp":1760854110750},"reference-count":24,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"11","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2019,11,1]]},"DOI":"10.1587\/transinf.2019pcp0004","type":"journal-article","created":{"date-parts":[[2019,10,31]],"date-time":"2019-10-31T22:54:24Z","timestamp":1572562464000},"page":"2083-2092","source":"Crossref","is-referenced-by-count":7,"title":["Depth from Defocus Technique Based on Cross Reblurring"],"prefix":"10.1587","volume":"E102.D","author":[{"given":"Kazumi","family":"TAKEMURA","sequence":"first","affiliation":[{"name":"Department of Information Science, Graduate School of Engineering, University of Fukui"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Toshiyuki","family":"YOSHIDA","sequence":"additional","affiliation":[{"name":"Department of Information Science, Graduate School of Engineering, University of Fukui"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","unstructured":"[1] H.H. Buelthoff and A.L. Yuille, \u201cShape-from-X: Phychophysics and computation,\u201d Proc. SPIE, vol.1383, no.1, pp.235-246, April 1991. 10.1117\/12.25259"},{"key":"2","doi-asserted-by":"publisher","unstructured":"[2] R. Szeliski and S.B. Kang, \u201cRecovering 3D shape and motion from image streams using nonlinear least squares,\u201d Journal of Visual Communication and Image Representation, vol.5, no.1, pp.10-28, March 1994. 10.1006\/jvci.1994.1002","DOI":"10.1006\/jvci.1994.1002"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] Y. Cui, S. Schuon, D. Chan, S. Thrun, and C. Theobalt, \u201c3D shape scanning with a time-of-flight camera,\u201d Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp.1173-1180, San Francisco, United States, June 2010. 10.1109\/cvpr.2010.5540082","DOI":"10.1109\/CVPR.2010.5540082"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] M. Gupta, A. Agrawal, A. Veeraraghavan, and S.G. Narasimhan, \u201cStructured light 3D scanning in the presence of global illumination,\u201d Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp.713-720, Colorado Springs, United States, June 2011. 10.1109\/cvpr.2011.5995321","DOI":"10.1109\/CVPR.2011.5995321"},{"key":"5","unstructured":"[5] Y. Xiong and S.A. Shafer, \u201cDepth from focusing and defocusing,\u201d Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp.68-73, New York, USA, June 1993. 10.1109\/cvpr.1993.340977"},{"key":"6","unstructured":"[6] S.K. Nayer, \u201cShape from focus system,\u201d Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp.302-308, Champaign, United States, June 1992. 10.1109\/cvpr.1992.223259"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] M. Subbarao and J. Tyan, \u201cOptimal focus measure for passive autofocusing and depth-from-focus,\u201d Proc. SPIE 2598, Videometrics IV, Philadelphia, United States, Sept. 1995. 10.1117\/12.220891","DOI":"10.1117\/12.220891"},{"key":"8","doi-asserted-by":"publisher","unstructured":"[8] M. Subbarao and C. Tao, \u201cAccurate recovery of three-dimensional shape from image focus,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.17, no.3, pp.266-274, March 1995. 10.1109\/34.368191","DOI":"10.1109\/34.368191"},{"key":"9","doi-asserted-by":"publisher","unstructured":"[9] A.P. Pentland, \u201cA new sense for depth of field,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.PAMI-9, no.4, pp.523-531, July 1987. 10.1109\/tpami.1987.4767940","DOI":"10.1109\/TPAMI.1987.4767940"},{"key":"10","doi-asserted-by":"publisher","unstructured":"[10] A.N. Rajagopalan and S. Chaudhuri, \u201cSpace-variant approach to recovery of depth from defocused images,\u201d Computer Vision and Image Understanding, vol.68, no.3, pp.309-329, Dec. 1997. 10.1006\/cviu.1997.0534","DOI":"10.1006\/cviu.1997.0534"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] S. Chaudhuri and A.N. Rajagopalan, Depth from defocus: A real aperture imaging approach, Springer-Verlag, New York, 1999. 10.1007\/978-1-4612-1490-8","DOI":"10.1007\/978-1-4612-1490-8"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] M. Asif, A.S. Malik, and T.-S. Choi, \u201c3D shape recovery from image defocus using wavelet analysis,\u201d Proc. IEEE International Conference on Image Processing 2005, Genova, Italy, Nov. 2005. 10.1109\/icip.2005.1529928","DOI":"10.1109\/ICIP.2005.1529928"},{"key":"13","doi-asserted-by":"publisher","unstructured":"[13] K.S. Pradeep and A.N. Rajagopalan, \u201cImproving shape from focus using defocus cue,\u201d IEEE Trans. Image Process., vol.16, no.7, pp.1920-1925, July 2007. 10.1109\/tip.2007.899188","DOI":"10.1109\/TIP.2007.899188"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] V.P. Namboodiri, S. Chaudhuri, and S. Hadap, \u201cRegularized depth from defocus,\u201d Proc. IEEE International Conference on Image Processing 2008, San Diego, United States, Oct. 2008. 10.1109\/icip.2008.4712056","DOI":"10.1109\/ICIP.2008.4712056"},{"key":"15","doi-asserted-by":"publisher","unstructured":"[15] R. Ben-Ari, \u201cA unified approach for registration and depth in depth from defocus,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.36, no.6, pp.1041-1055, June 2014. 10.1109\/tpami.2014.14","DOI":"10.1109\/TPAMI.2014.14"},{"key":"16","doi-asserted-by":"publisher","unstructured":"[16] J. Ens and P. Lawrence, \u201cAn investigation of methods for determining depth from focus,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.15, no.2, pp.97-108, Feb. 1993. 10.1109\/34.192482","DOI":"10.1109\/34.192482"},{"key":"17","doi-asserted-by":"publisher","unstructured":"[17] M. Subbarao and G. Surya, \u201cDepth from defocus: A spatial domain approach,\u201d International Journal of Computer Vision, vol.13, no.3, pp.271-294, 1994. 10.1007\/bf02028349","DOI":"10.1007\/BF02028349"},{"key":"18","doi-asserted-by":"crossref","unstructured":"[18] T. Xian and M. Subbarao, \u201cDepth-from-defocus: Blur equalization technique,\u201d Proc. SPIE 6382, Two- and Three-Dimensional Methods for Inspection and Metrology IV, Boston, United States, Oct. 2006. 10.1117\/12.688615","DOI":"10.1117\/12.688615"},{"key":"19","doi-asserted-by":"crossref","unstructured":"[19] M. Watanabe and S.K. Nayer, \u201cMinimal operator set for passive depth from defocus,\u201d Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp.431-438, San Francisco, United States, June 1996. 10.1109\/cvpr.1996.517108","DOI":"10.1109\/CVPR.1996.517108"},{"key":"20","unstructured":"[20] M. Watanabe and S.K. Nayer, \u201cRational filters for passive depth from defocus,\u201d International Journal of Computer Vision, vol.27, no.3, pp.203-225, 1998."},{"key":"21","doi-asserted-by":"publisher","unstructured":"[21] A.N. Rajagopalan, S. Chaudhuri, and U. Mudenagudi, \u201cDepth estimation and image restoration using defocused stereo pairs,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.26, no.11, pp.1521-1525, Nov. 2004. 10.1109\/tpami.2004.102","DOI":"10.1109\/TPAMI.2004.102"},{"key":"22","doi-asserted-by":"publisher","unstructured":"[22] C. Zhou, S. Lin, and S.K. Nayar, \u201cCoded aperture pairs for depth from defocus and defocus deblurring,\u201d International Journal of Computer Vision, vol.93, no.1, pp.53-72, 2011. 10.1007\/s11263-010-0409-8","DOI":"10.1007\/s11263-010-0409-8"},{"key":"23","unstructured":"[23] R.N. Bracewell, The Fourier transform and its applications, International edition, Electrical and Electronic Engineering Series, McGraw-Hill, Singapore, 1986."},{"key":"24","unstructured":"[24] T. Yoshida, \u201c3-D shape measurement with shape from focus\/defocus technique and its applications,\u201d IEICE Technical Report, vol.115, no.348, pp.61-66, Dec. 2015 (in Japanese)."}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E102.D\/11\/E102.D_2019PCP0004\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,2]],"date-time":"2019-11-02T03:31:41Z","timestamp":1572665501000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E102.D\/11\/E102.D_2019PCP0004\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,1]]},"references-count":24,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2019]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2019pcp0004","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,11,1]]}}}