Using spin images for efficient object recognition in cluttered 3D scenes
Andrew Johnson, Martial Hebert
IEEE Transactions on Pattern Analysis and Machine IntelligenceTop-listed
Faculty
Martial Hebert is a Computer Science scholar at Carnegie Mellon University. Research spans Advanced Image and Video Retrieval Techniques, Advanced Vision and Imaging, Robotic Path Planning Algorithms. 563 works, 45k citations (h-index 102).
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Affiliation on publications · Carnegie Mellon University
Andrew Johnson, Martial Hebert
IEEE Transactions on Pattern Analysis and Machine IntelligenceTop-listed
Chris Urmson, Joshua Anhalt, Drew Bagnell, Christopher Baker, Robert Bittner, Michael Clark, John Dolan, Dave Duggins, Tugrul Galatali, Chris Geyer, Michele Gittleman, Sam Harbaugh, Martial Hebert, Thomas M. Howard, Sascha Kolski, Alonzo Kelly, Maxim A. Likhachev, Matt McNaughton, Nick Miller, Kevin M. Peterson, Brian Pilnick, Raj Rajkumar, Paul E. Rybski, Bryan Salesky, Young‐Woo Seo, Sanjiv Singh, Jarrod M. Snider, Anthony Stentz, William “Red” Whittaker, Ziv Wolkowicki, Jason Ziglar, Hong Bae, Thomas Brown, Daniel Demitrish, Bakhtiar B. Litkouhi, Jim Nickolaou, Varsha K. Sadekar, Wende Zhang, Joshua Struble, Michael Taylor
Journal of Field Robotics OACore
Ishan Misra, Abhinav Shrivastava, Abhinav Gupta, Martial Hebert
OA