3 次元物体認識（キーポイントベース）文献リスト（中京大学橋本研調べ）[Ikeuchi1993]K.Ikeuchi, S.B.Kang, Assembly Plan from Observation, AAAI TechnicalReport FS-93-04, pp.115-119, 1993.
[Johnson1997]A.E.Johnson ， M.Hebert, Surface Registration by Matching Oriented
Points, Proceedings. International Conference on Recent Advances in 3-D Digital
Imaging and Modeling, pp.121-128, 1997.
[Johnson1999]A.E.Johnson ， M.Hebert, Using Spin Images for Efficient Object
Recognition in Cluttered 3D Scenes,

IEEE Transactions on Pattern Analysis andMachine Intelligence (PAMI), pp433-449, 1999.
[Correa2001]S.R-Correa, L.G.Shapiro, M.Melia, A New Signature-Based Method for
Efficient 3-D Object Recognition, IEEE Computer Society Conference onComputer Vision
and Pattern Recognition (CVPR), pp.I769-I776 2001.
[Takeguchi2001]武口智行，金子俊一，近藤司，五十嵐悟, 距離アスペクト画像の 2 次元照合によるロバスト物体認識, 電学論 D-II, Vol.J84-D-II,No.8, pp.1710-1721, 2001.
[Frome2004]A.Frome, D.Huber, R.Kolluri, T.Bulow, J.Malik, Recognizing Object inRange Data Using Regional Point Descriptors, 8th European Conference on ComputerVision, Prague, Czech Republic, pp.224-237, 2004.
[Chen2007]H.Chen, B.Bhanu, 3D Free-Form Object Recognition in Range Images UsingLocal Surface Patches, Pattern Recognition Letters, Vol.28, pp.1252-1262, 2007.
[Kitaki2007]北明 靖雄，奥田 晴久，橋本 学，金子 俊一, 距離アスペクト画像照合と階層化 ICP 照合による 3 次元物体認識, 電学論(C), Vol.127, No.4, pp.615-622, 2007.
[Rusu2008]R.B.Rusu, N.Blodow, Z.C.Marton, M.Beetz, Aligening Pointb Cloud Views
using Persistent Feature Histgrams, IEEE/RSJ International Conference on Intelligent
Robots and System (IROS), pp.22-26, 2008.
[Novatnack2008]J.Novatnack, K.Nishino, Scale-Dependent/Invariant Local 3D Shape
Descriptors for Fully Automatic Registration of Multiple Sets of Range Images,
European Conference on Computer Vision (ECCV), pp.440-453, 2008.
[Rusu2008]R.B.Rusu, Z.C.Marton, N.Blodow, M.Beetz, Learning Informative PointClasses for the Acuisition of Object Model Maps, 10th International Conference onControl, Automation, Robotics and Vision (ICRARCV), pp.643-650, 2008.
[Zaharescu2009]A.Zaharescu,

E.Boyer,K.Varanasi,R.Horaud,

SurfaceFeatureDetection and Description with Applications to Mesh Matching, IEEE Conference on
Computer Vision and Pattern Recognition (CVPR), pp373-380, 2009.
[Rusu2009]R.B.Rusu, N.Blodow, M.Beetz, Fast Point Feature Histgrams (FPFH) for 3DRegistration, The IEEE International Conference on Robotics and Automation (ICRA),
pp3212-3217, 2009.
[Drost2010]B.Drost, M.Ulrich, N.Navab, S.Ilic, Model Globally, Match Locally: Efficient3 次元物体認識（キーポイントベース）文献リスト（中京大学橋本研調べ）

and Robust 3D Object Recognition, 2010 IEEE Conference on Computer Vision andPattern Recognition (CVPR), pp.998-1005, 2010.
[Tombari2010]F.Tombari, S.Salti, L.D.Stefano, Unique Signatures of Histograms forLocal Surface Description, European Conference on Computer Vision(ECCV), pp.356369, 2010.
[Rusu2010]R.B.Rusu, G.Bradski, R.Thibaux, J.Hsu, Fast 3D Recognition and Pose Using
the Viewpoint Feature Histogram, IEEE/RSJ International Conference on Intelligent
Robots and System (IROS), pp.2155-2162, 2010.
[Steder2010]B.Steder, R.B.Rusu, K.Konolige, W.Burgard, NARF: 3D Range Image
Features for Object Recognition, IEEE/RSJ International Conference on Intelligent
Robots and System (IROS), 2010.
[Kim2011]E.Kim, G.Medioni, 3D Object Recognition in Range Images Using Visibility
Context, IEEE/RSJ International Conference on Intelligent Robots and System (IROS),
pp.3800-3807, 2011.
[Steder2011]B.Steder, R.B.Rusu, K.Konolige, W.Burgard, Point Feature Extraction on
3D Range Scans Taking into Account Object Boundaries, International Conference onRobotics and Automation, pp.2601-2608, 2011.
[Tombari2011]F.Tombari, S.Salti, L.D.Stefano, A Combined Texture-Shape Descriptor
For Enhanced 3D Feature Matching, IEEE International Conference on Image
Processing(ICIP), pp.809-812, 2011.
[Akizuki2012]S.Akizuki,M.Hashimoto, High-speed and Reliable Object Recognition
using Distinctive 3-D Vector Pairs in a Range Image, International Symposium on
Optomechatronic Technologies (ISOT), pp1-6, 2012
[Choi2012]C.Choi, Y.Taguchi, O.Tuzel, M.Liu, S.Ramalingam, Voting-Based PoseEstimation for Robotic Assembly Using a 3D Sensor, IEEE International Conference onRobotics and Automation (ICRA), pp.1724-1731, 2012.
[Tang2012]S.Tang, X.Wang, X.Lv, T.X.Han, J.Keller, Z.He, M.Skubic, S.Lao, Histogramof Oriented Normal Vectors for Object Recognition with a Depth Sensor, The 11th Asian
Conference on Computer Vision (ACCV), 2012.