{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T05:51:37Z","timestamp":1776145897181,"version":"3.50.1"},"reference-count":29,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2017,4,8]],"date-time":"2017-04-08T00:00:00Z","timestamp":1491609600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61571358"],"award-info":[{"award-number":["61571358"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61627811"],"award-info":[{"award-number":["61627811"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shaanxi Industrial Science and Technology Project","award":["2015GY058"],"award-info":[{"award-number":["2015GY058"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Depth information has been used in many fields because of its low cost and easy availability, since the Microsoft Kinect was released. However, the Kinect and Kinect-like RGB-D sensors show limited performance in certain applications and place high demands on accuracy and robustness of depth information. In this paper, we propose a depth sensing system that contains a laser projector similar to that used in the Kinect, and two infrared cameras located on both sides of the laser projector, to obtain higher spatial resolution depth information. We apply the block-matching algorithm to estimate the disparity. To improve the spatial resolution, we reduce the size of matching blocks, but smaller matching blocks generate lower matching precision. To address this problem, we combine two matching modes (binocular mode and monocular mode) in the disparity estimation process. Experimental results show that our method can obtain higher spatial resolution depth without loss of the quality of the range image, compared with the Kinect. Furthermore, our algorithm is implemented on a low-cost hardware platform, and the system can support the resolution of 1280 \u00d7 960, and up to a speed of 60 frames per second, for depth image sequences.<\/jats:p>","DOI":"10.3390\/s17040805","type":"journal-article","created":{"date-parts":[[2017,4,13]],"date-time":"2017-04-13T02:39:17Z","timestamp":1492051157000},"page":"805","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["A High Spatial Resolution Depth Sensing Method Based on Binocular Structured Light"],"prefix":"10.3390","volume":"17","author":[{"given":"Huimin","family":"Yao","sequence":"first","affiliation":[{"name":"The Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenyang","family":"Ge","sequence":"additional","affiliation":[{"name":"The Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China"},{"name":"The National Engineering Laboratory for Visual Information Processing and Applications, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianru","family":"Xue","sequence":"additional","affiliation":[{"name":"The Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China"},{"name":"Shaanxi Provincial Key Laboratory of Digital Technology and Intelligent Systems, Xi\u2019an 710049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nanning","family":"Zheng","sequence":"additional","affiliation":[{"name":"The Institute of Artificial Intelligence and Robotics, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China"},{"name":"The National Engineering Laboratory for Visual Information Processing and Applications, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,4,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/MMUL.2012.24","article-title":"Microsoft kinect sensor and its effect","volume":"19","author":"Zhang","year":"2012","journal-title":"IEEE Multimedia"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1318","DOI":"10.1109\/TCYB.2013.2265378","article-title":"Enhanced computer vision with microsoft kinect sensor: A review","volume":"43","author":"Han","year":"2013","journal-title":"IEEE Trans. Cybern."},{"key":"ref_3","first-page":"216","article-title":"Measurement of active shoulder motion using the Kinect, a commercially available infrared position detection system","volume":"25","author":"Iii","year":"2015","journal-title":"J. Shoulder Elbow Surg. Am. Shoulder Elbow Surg."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Hernandez-Belmonte, U.H., and Ayala-Ramirez, V. (2016). Real-time hand posture recognition for human-robot interaction tasks. Sensors, 16.","DOI":"10.3390\/s16010036"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1109\/TIM.2015.2498560","article-title":"Static and dynamic hand gesture recognition in depth data using dynamic time warping","volume":"65","author":"Plouffe","year":"2016","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1109\/MITS.2015.2439179","article-title":"Computer assisted analysis of drivers\u2019 body activity using a range camera","volume":"7","author":"Kondyli","year":"2015","journal-title":"IEEE Intell. Transp. Syst. Mag."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"023015","DOI":"10.1117\/1.JEI.25.2.023015","article-title":"Extension of an iterative closest point algorithm for simultaneous localization and mapping in corridor environments","volume":"25","author":"Yue","year":"2016","journal-title":"J. Electron. Imaging"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/j.eswa.2015.09.035","article-title":"Weighted joint-based human behavior recognition algorithm using only depth information for low-cost intelligent video-surveillance system","volume":"45","author":"Kim","year":"2015","journal-title":"Expert Syst. Appl."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Izadi, S., Kim, D., Hilliges, O., Molyneaux, D., Newcombe, R., Kohli, P., Shotton, J., Hodges, S., Freeman, D., and Davison, A. (2011, January 16\u201319). Kinect fusion: Real-time 3D reconstruction and interaction using a moving depth camera. Proceedings of the ACM Symposium on User Interface Software and Technology, Santa Barbara, CA, USA.","DOI":"10.1145\/2047196.2047270"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Tang, S., Zhu, Q., Chen, W., Darwish, W., Wu, B., Hu, H., and Chen, M. (2016). enhanced RGB-D mapping method for detailed 3D indoor and outdoor modeling. Sensors, 16.","DOI":"10.3390\/s16101589"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1109\/TCSVT.2009.2026831","article-title":"FPGA design and implementation of a real-time stereo vision system","volume":"20","author":"Jin","year":"2010","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Banz, C., Hesselbarth, S., Flatt, H., Blume, H., and Pirsch, P. (2010, January 19\u201322). Real-time stereo vision system using semi-global matching disparity estimation: Architecture and FPGA-implementation. Proceedings of the International Conference on Embedded Computer Systems, Samos, Greece.","DOI":"10.1109\/ICSAMOS.2010.5642077"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1364\/AOP.3.000128","article-title":"Structured-light 3D surface imaging: a tutorial","volume":"3","author":"Geng","year":"2011","journal-title":"Adv. Opt. Photonics"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"827","DOI":"10.1016\/j.patcog.2003.10.002","article-title":"Pattern codification strategies in structured light systems","volume":"37","author":"Salvi","year":"2004","journal-title":"Pattern Recognit."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Kim, W., Wang, Y., Ovsiannikov, I., Lee, S.H., Park, Y., Chung, C., and Fossum, E. (2012, January 19\u201323). A 1.5Mpixel RGBZ CMOS image sensor for simultaneous color and range image capture. Proceedings of the IEEE International Solid-state Circuits Conference Digest of Technical Papers, San Francisco, CA, USA.","DOI":"10.1109\/ISSCC.2012.6177061"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.cviu.2015.05.006","article-title":"Kinect range sensing: Structured-light versus time-of-flight kinect","volume":"139","author":"Sarbolandi","year":"2015","journal-title":"Comput. Vision Image Underst."},{"key":"ref_17","unstructured":"Gere, D.S. (2013). Depth Perception Device and System. (2013\/0027548), U.S. Patent."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"18506","DOI":"10.3390\/s150818506","article-title":"Temporal and spatial denoising of depth maps","volume":"15","author":"Lin","year":"2015","journal-title":"Sensors"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Camplani, M., and Salgado, L. (2012, January 22\u201326). Efficient spatio-temporal hole filling strategy for Kinect depth maps. Proceedings of the IS&T\/SPIE Electronic Imaging, Burlingame, CA, USA.","DOI":"10.1117\/12.911909"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1007\/s00138-015-0680-3","article-title":"The VLSI implementation of a high-resolution depth-sensing SoC based on active structured light","volume":"26","author":"Yao","year":"2015","journal-title":"Mach. Vision Appl."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Ma, S., Shen, Y., Qian, J., Chen, H., Hao, Z., and Yang, L. (2011). Binocular Structured Light Stereo Matching Approach for Dense Facial Disparity Map, Springer.","DOI":"10.1007\/978-3-642-25832-9_56"},{"key":"ref_22","unstructured":"An, D., Woodward, A., Delmas, P., and Chen, C.Y. (2017, March 03). Comparison of Structured Lighting Techniques with a View for Facial Reconstruction. Available online: https:\/\/www.researchgate.net\/publication\/268427066_Comparison_of_Structured_Lighting_Techniques_with_a_View_for_Facial_Reconstruction."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"18587","DOI":"10.3390\/s150818587","article-title":"Structured light-based 3D reconstruction system for plants","volume":"15","author":"Nguyen","year":"2015","journal-title":"Sensors"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1275","DOI":"10.1109\/TIM.2007.915103","article-title":"Robust and accurate surface measurement using structured light","volume":"57","author":"Yang","year":"2008","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1007\/s00340-010-3978-x","article-title":"Three-dimensional data acquisition by digital correlation of projected speckle patterns","volume":"99","author":"Dekiff","year":"2010","journal-title":"Appl. Phys. B"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"761","DOI":"10.1007\/s11340-007-9062-8","article-title":"Use of 3-D digital image correlation to characterize the mechanical behavior of a fiber reinforced refractory castable","volume":"47","author":"Robert","year":"2007","journal-title":"Exp. Mech."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1007\/BF02326485","article-title":"Deformation measurements by digital image correlation: Implementation of a second-order displacement gradient","volume":"40","author":"Lu","year":"2000","journal-title":"Exp. Mech."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1109\/TPAMI.2007.1166","article-title":"Stereo processing by semiglobal matching and mutual information","volume":"30","year":"2008","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1023\/A:1014573219977","article-title":"A taxonomy and evaluation of dense two-frame stereo correspondence algorithms","volume":"47","author":"Scharstein","year":"2002","journal-title":"Int. J. Comput. 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