Michael A. Greenspan

Yani Ioannou, Babak Taati, Robin Harrap, Michael A. Greenspan: Difference of Normals as a Multi-scale Operator in Unorganized Point Clouds. 3DIMPVT 2012: 501-508

Joseph Lam, Michael A. Greenspan: On the Repeatability of 3D Point Cloud Segmentation Based on Interest Points. CRV 2012: 9-16

Joseph Lam, Michael A. Greenspan: Shape matching of repeatable interest segments in 3D point clouds. CVPR Workshops 2012: 25-32

Yani Ioannou, Babak Taati, Robin Harrap, Michael A. Greenspan: Difference of Normals as a Multi-Scale Operator in Unorganized Point Clouds. CoRR abs/1209.1759 (2012)

Babak Taati, Michael A. Greenspan: Local shape descriptor selection for object recognition in range data. Computer Vision and Image Understanding 115(5): 681-694 (2011)

Hong Li, Michael A. Greenspan: Model-based segmentation and recognition of dynamic gestures in continuous video streams. Pattern Recognition 44(8): 1614-1628 (2011)

Limin Shang, Michael A. Greenspan: Real-time Object Recognition in Sparse Range Images Using Error Surface Embedding. International Journal of Computer Vision 89(2-3): 211-228 (2010)

Michael A. Greenspan, Joseph Lam, Marc Godard, Imran Zaidi, Sam Jordan, Will Leckie, Ken Anderson, Donna C. Dupuis: Toward a Competitive Pool-Playing Robot. IEEE Computer 41(1): 46-53 (2008)

Joseph Lam, Michael A. Greenspan: Eye-In-Hand Visual Servoing for Accurate Shooting in Pool Robotics. CRV 2008: 11-17

Limin Shang, Piotr Jasiobedzki, Michael A. Greenspan: Model-Based Tracking by Classification in a Tiny Discrete Pose Space. IEEE Trans. Pattern Anal. Mach. Intell. 29(6): 976-989 (2007)

Babak Taati, Michel Bondy, Piotr Jasiobedzki, Michael A. Greenspan: Automatic Registration for Model Building using Variable Dimensional Local Shape Descriptors. 3DIM 2007: 265-272

Limin Shang, Michael A. Greenspan: Pose Determination By PotentialWell Space Embedding. 3DIM 2007: 297-304

Michael A. Greenspan, Joseph Lam, Will Leckie, Marc Godard, Imran Zaidi, Ken Anderson, Donna C. Dupuis, Sam Jordan: Toward a Competitive Pool Playing Robot: Is Computational Intelligence Needed to Play Robotic Pool? CIG 2007: 380-388

Babak Taati, Michel Bondy, Piotr Jasiobedzki, Michael A. Greenspan: Variable Dimensional Local Shape Descriptors for Object Recognition in Range Data. ICCV 2007: 1-8

Shawn Zhang, Michael A. Greenspan: Variable Homography Compensation of Parallax Along Mosaic Seams. ICIAR 2007: 271-284

Hong Li, Michael A. Greenspan: Segmentation and Recognition of Continuous Gestures. ICIP (1) 2007: 365-368

Joseph Lam, Michael A. Greenspan: An iterative algebraic approach to TCF matrix estimation. IROS 2007: 3848-3853

Will Leckie, Michael A. Greenspan: Pool Physics Simulation by Event Prediction 2: Collisions. ICGA Journal 29(1): 24-31 (2006)

Babak Taati, Michael A. Greenspan, Kamal Gupta: A Dynamic Load-Balancing Parallel Search for Enumerative Robot Path Planning. Journal of Intelligent and Robotic Systems 47(1): 55-85 (2006)

L. I. Wang, Michael A. Greenspan, Randy E. Ellis: Validation of bone segmentation and improved 3-D registration using contour coherency in CT data. IEEE Trans. Med. Imaging 25(3): 324-334 (2006)

Will Leckie, Michael A. Greenspan: An Event-Based Pool Physics Simulator. ACG 2006: 247-262

Will Leckie, Michael A. Greenspan: Monte-Carlo Methods in Pool Strategy Game Trees. Computers and Games 2006: 244-255

Joseph Lam, Fei Long, Gerhard Roth, Michael A. Greenspan: Determining Shot Accuracy of a Robotic Pool System. CRV 2006: 23

Will Leckie, Michael A. Greenspan: Pool Physics Simulation by Event Prediction 1: Motion Transitions. ICGA Journal 28(4): 214-222 (2005)

Weiguang Yao, Purang Abolmaesumi, Michael A. Greenspan, Randy E. Ellis: An Estimation/Correction Algorithm for Detecting Bone Edges in CT Images. IEEE Trans. Med. Imaging 24(8): 997-1010 (2005)

Limin Shang, Piotr Jasiobedzki, Michael A. Greenspan: Discrete Pose Space Estimation to Improve ICP-Based Tracking. 3DIM 2005: 523-530

Hong Li, Michael A. Greenspan: Multi-Scale Gesture Recognition from Time-Varying Contours. ICCV 2005: 236-243

Ian Fraser, Michael A. Greenspan: Color Indexing by Nonparametric Statistics. ICIAR 2005: 694-702

Michael A. Greenspan, Limin Shang, Piotr Jasiobedzki: Efficient Tracking with the Bounded Hough Transform. CVPR (1) 2004: 520-527

Fei Long, Johan Herland, Marie-Christine Tessier, Darryl Naulls, Andrew Roth, Gerhard Roth, Michael A. Greenspan: Robotic pool: an experiment in automatic potting. IROS 2004: 2520-2525

Michael A. Greenspan, Mike Yurick: Approximate K-D Tree Search for Efficient ICP. 3DIM 2003: 442-448

Michael A. Greenspan: Geometric Probing of Dense Range Data. IEEE Trans. Pattern Anal. Mach. Intell. 24(4): 495-508 (2002)

Ian Gipson, Kamal Gupta, Michael A. Greenspan: MPK: An open extensible motion planning kernel. J. Field Robotics 18(8): 433-443 (2001)

Michael A. Greenspan, Guy Godin: A Nearest Neighbor Method for Efficient ICP. 3DIM 2001: 161-170

Christian Langis, Michael A. Greenspan, Guy Godin: The Parallel Iterative Closest Point Algorithm. 3DIM 2001: 195-204

Chang Shu, Michael A. Greenspan, Guy Godin: Nearest neighbor search through function minimization. CCCG 2001: 157-160

Marc Rioux, François Blais, J.-Angelo Beraldin, Guy Godin, Pierre Boulanger, Michael A. Greenspan: Beyond Range Sensing: XYZ-RGB Digitizing and Modeling. ICRA 2000: 111-115

Pamela Renton, Michael A. Greenspan, Hoda A. ElMaraghy, Hassen Zghal: Plan-N-Scan: A Robotic System for Collision-Free Autonomous Exploration and Workspace Mapping. Journal of Intelligent and Robotic Systems 24(3): 207-234 (1999)

D. G. Lamb, D. L. Baird, Michael A. Greenspan: An Automation System for Industrial 3-D Laser Digitizing. 3DIM 1999: 148-159

Michael A. Greenspan, Pierre Boulanger: Efficient and Reliable Template Set Matching for 3D Object Recognition. 3DIM 1999: 230-239

Michael A. Greenspan: The Sample Tree: A Sequential Hypothesis Testing Approach to 3D Object Recognition. CVPR 1998: 772-779