3D-object reconstruction based on fusion of depth images by Kinect sensor

[1]Paris S, Sillion F X, Quan L. A surface reconstruction method using global graph cut optimization[J]. International Journal of Computer Vision, 2006, 66(2): 141-161.
[2]Zaharescu A, Boyer E, Horaud R. Transformesh: a topology-adaptive mesh-based approach to surface evolution[M]. Berlin Heidelberg :Computer Vision-ACCV 2007 Springer, 2007: 166-175.
[3]Lhuillier M, Quan L. A quasi-dense approach to surface reconstruction from uncalibrated images[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(3): 418-433.
[4]Bradley D, Boubekeur T, Heidrich W. Accurate multi-view reconstruction using robust binocular stereo and surface meshing[C]//2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Anchorage, USA: IEEE, 2008: 1-8.
[5]Merrell P, Akbarzadeh A, Wang L, et al. Real-time visibility-based fusion of depth maps[C]//11th International Conference on Computer Vision. Rio de Janeiro, Brazil：IEEE, 2007: 1-8.
[6]Tylecek R, Sara R. Depth map fusion with camera position refinement[C]//Computer Vision Winter Workshop. Paris, France：Computer Vision, 2009: 59-66.
[7]Fuhrmann S, Goesele M. Fusion of depth maps with multiple scales[J]. ACM Transactions on Graphics, 2011, 30(6): 148.
[8]Peter H, Michael K, Evan H, et al. RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments[J].International Journal of Robotics Research,2012,31(5):647-663.
[9]Newcombe, Richard A, Izadi S, et al. Kinectfusion:Real-time dense surface mapping and tracking[C]//10th IEEE/ACM International Symposium on Mixed and Augmented Reality. Basel, Switzerland：IEEE, 2011:127-136.
[10]Engelhard N， Endres F，Hess J，et al．Realtime 3D visual SLAM with a hand-held RGB-D camera[C]//24th Annual ACM Symposium on User Interface Software and Technology. Robotdalen, Sweden：Association for Computing Machinery, 2011:559-568.
[11]Izadi S，Newcomber A，Kim D，et al．Kinectfusion：rea1-time dynamic 3D surface reconstruction and interaction [C]// ACM SIGGRAPH 2011 Talk. Vancouver，Canada：ACM SIGGRAPH，2011:449-458.
[12]Izadi S，Kim D，Hilliges O，et al ．Kinectfusion： real-time 3D reconstruction and interaction using a moving depth camera[C]//24th Annual ACM Symposium on User Interface Software and Technology．Santa Barbara，CA：ACM，2011:559-568.
[13]Liu Xin, Xu Huarong, Hu Zhanyi, et al. GPU based fast 3D-object modeling with kinect[J]. Acta Automatica Sinica, 2012, 38(8):1288-1297.
刘鑫,许华荣,胡占义, 等.基于 GPU和 Kinect的快速物体重建[J]. 自动化学报, 2012, 38(8):1288-1297
[14]Yang Dongfang, Wang Shicheng, Liu Huaping, et al. Scene modeling and autonomous navigation for robots based on kinect system[J]. Robot, 2012，34（5）：581-586.
杨东方，王仕成，刘华平，等.基于Kinect系统的场景建模与机器人自主导航[J].机器人，2012，34（5）：581-586.
[15]Huang Yuqiang. Vision based mapping of a mobile robot in unknown environment[D].Nanjing: Nanjing University,2012：56-57.
黄玉强.移动机器人在未知环境下的基于视觉系统的地图创建[D].南京：南京大学，2012：56-57.
[16]Zhang Cuihong. 3D indoor scene reconstruction with kinect depth camera[D]. Daling: Dalian University of Technology, 2013：48.
张翠红.基于Kinect深度相机的室内三维场景重构[D].大连：大连理工大学，2013：48.
[17]Chen Xiaoming. Research of 3D reconstruction and filtering algorithm based on depth information of kinect[D].Shanghai: Shanghai Jiao Tong University,2013：53-54.
陈晓明.基于 Kinect 深度信息的实时三维重建和滤波算法研究[D].上海：上海交通大学，2013：53-54.
[18]Li Guozhen. Research and implementation of kinect based 3D reconstruction[D]. Beijing: Beijing Jiaotong University,2012：47.
李国镇.基于Kinect的三维重建方法的研究与实现[D]. 北京：北京交通大学，2012：47.
[19]Arieli Y, Freedman B, Machline M, et al. Depth mapping using projected patterns: US. 8150142 B2 [P]. 2012-04--03[2014-05-06].http://www.freepatent sonline.com/8150142.html.
[20]Akio D, Koide A. An efficient method of triangulating equi-valued surfaces by using tetrahedral cells[J]. Ieice Transactions on Information and Systems, 1991, 74(1): 214-224.
[21]Gortler S J, Grzeszczuk R, Szeliski R, et al. The lumigraph[C]//Proceedings of the 23rd annual conference on Computer graphics and interactive techniques. New Orleans : ACM, 1996: 43-54.
[22]Akio D, Koide A. An efficient method of triangulating equi-valued surfaces by using tetrahedral cells[J]. IEICE, 1991, 74(1): 214-224.
[23]Schaefer S, Warren J. Dual marching cubes: primal contouring of dual grids[C]//Computer Graphics and Applications. Houston, TX, USA: IEEE, 2004: 70-76.
[24]Frahm J M, Fite G P, Gallup D, et al. Building rome on a cloudless day[M]. Berlin Heidelberg: Computer Vision-ECCV Springer, 2010: 368-381.