free research papers-computer science- by David Lowe
Kenji Okuma, Eric Brochu, David G. Lowe, James J. Little, “An adaptive interface for active localization,” International Conference on Computer Vision Theory and Applications (VISAPP), Portugal (March 2011). [PDF]; [Project page]
Scott Helmer, David Meger, Marius Muja, James J. Little, David G. Lowe, “Multiple Viewpoint Recognition and Localization,” Asian Conference on Computer Vision (ACCV), Queenstown, New Zealand (November 2010). [PDF];
Scott Helmer and David G. Lowe, “Using Stereo for Object Recognition,” International Conference on Robotics and Automation (ICRA), Anchorage, Alaska (May 2010). (Finalist for Best Vision Paper Award). [PDF];
David Meger, et al. “Curious George: An Integrated Visual Search Platform,” Canadian Conference on Computer and Robot Vision (CRV), Ottawa, Ontario (May 2010). [PDF];
Panu Turcot and David G. Lowe, “Better matching with fewer features: The selection of useful features in large database recognition problems,” ICCV Workshop on Emergent Issues in Large Amounts of Visual Data (WS-LAVD), Kyoto, Japan (October 2009). [PDF];
Marius Muja and David G. Lowe, “Fast approximate nearest neighbors with automatic algorithm configuration,” International Conference on Computer Vision Theory and Applications (VISAPP), Lisbon, Portugal (Feb 2009). [PDF]; [Source code]
Jim Mutch and David G. Lowe, “Object class recognition and localization using sparse features with limited receptive fields,” International Journal of Computer Vision, 80, 1 (2008), pp. 45-57. [PDF]; [Source code]
D. Meger, P.-E. Forssén, K. Lai, S. Helmer, S. McCann, T. Southey, M. Baumann, J.J. Little, D.G. Lowe, “Curious George: An attentive semantic robot,” Robotics and Autonomous Systems Journal, 56, 6 (2008), pp. 503-511. [PDF];
Per-Erik Forssén, David Meger, Kevin Lai, Scott Helmer, James J. Little, David G. Lowe, “Informed visual search: Combining attention and object recognition” research International Conference on Robotics and Automation, Pasadena, CA (2008), pp. 935-942. [PDF];
Matthew Brown and David G. Lowe, “Automatic panoramic image stitching using invariant features,” International Journal of Computer Vision, 74, 1 (2007), pp. 59-73. [PDF]; [Project page]; [Autostitch, with free demo software];
Per-Erik Forssén and David G. Lowe, “Shape descriptors for maximally stable extremal regions,” International Conference on Computer Vision (ICCV), Rio de Janeiro, Brazil (October 2007). [PDF];
Iryna Gordon and David G. Lowe, “What and where: 3D object recognition with accurate pose,” in Toward Category-Level Object Recognition, eds. J. Ponce, M. Hebert, C. Schmid, and A. Zisserman, (Springer-Verlag, 2006), pp. 67-82. [PDF]; [Project page]; [AVI video, 3.7MB]; [AVI video, 5MB];
Jim Mutch and David G. Lowe, “Multiclass object recognition with sparse, localized features,” research Conference on Computer Vision and Pattern Recognition (CVPR), New York, NY (June 2006), pp. 11-18. [PDF]; [Source code] (See updated and extended presentation on this work above: Mutch and Lowe, 2008).
Mario E. Munich, Paolo Pirjanian, Enrico Di Bernardo, Luis Goncalves, Niklas Karlsson, and David G. Lowe, “SIFT-ing through features with ViPR: Application of visual pattern recognition to robotics and automation,” research Robotics and Automation Magazine, (September 2006), pp. 72-77. [PDF];
Gustavo Carneiro and David G. Lowe, “Sparse flexible models of local features,” European Conference on Computer Vision (ECCV), Graz, Austria (May 2006), Part III, pp. 29-43. [PDF];
Parvaneh Saeedi, Peter D. Lawrence, and David G. Lowe, “Vision-based 3D trajectory tracking for unknown environments,” research Transaction on Robotics, 22,1, (2006), oo, 119-136, [PDF];
Matthew Brown and David G. Lowe, “Unsupervised 3D object recognition and reconstruction in unordered datasets,” International Conference on 3-D Digital Imaging and Modeling (3DIM 2005), Ottawa, Canada (June 2005). [PDF]; [Project page];
Stephen Se, David G. Lowe and James J. Little, “Vision-based global localization and mapping for mobile robots,” research Transactions on Robotics, 21, 3 (2005), pp. 364-375. [PDF];
P. Saeedi, P.D. Lawrence, D.G. Lowe, P. Jacobsen, D. Kusalovic, K. Ardron, and P.H. Sorensen, “An autonomous excavator with vision-based track slippage control,” research Trans. on Control Systems Technology, 13, 1 (2005), pp. 67-84. [PDF];
David G. Lowe, “Distinctive image features from scale-invariant keypoints,” International Journal of Computer Vision, 60, 2 (2004), pp. 91-110. [PDF] [Demo software]
Scott Helmer and David G. Lowe, “Object recognition with many local features,” Workshop on Generative Model Based Vision 2004 (GMBV), Washington, D.C. (July 2004). [PDF];
Iryna Gordon and David G. Lowe, “Scene modelling, recognition and tracking with invariant image features,” International Symposium on Mixed and Augmented Reality (ISMAR), Arlington, VA (Nov. 2004), pp. 110-119. [PDF] (See updated presentation on this work above: Gordon and Lowe, 2006).
Kenji Okuma, Ali Taleghani, Nando De Freitas, James J. Little, and David G. Lowe, “A boosted particle filter: Multitarget detection and tracking,” European Conference on Computer Vision (ECCV), Prague (May 2004), pp. 28-39. [Winner of the prize for best paper in Cognitive Vision] [PDF]; [MPEG video, 800K]; [MPEG video, 351K]
Kenji Okuma, James J. Little, and David G. Lowe, “Automatic rectification of long image sequences,” Asian Conference on Computer Vision (ACCV), Jeju Island, Korea (January 2004). [PDF];
Matthew Brown and David G. Lowe, “Recognising panoramas,” International Conference on Computer Vision (ICCV 2003), Nice, France (October 2003), pp. 1218-25. [PDF]; [Project page];
Parvaneh Saeedi, David G. Lowe, and Peter D. Lawrence, “3D localization and tracking in unknown environments,” International Conference on Robotics and Automation, Taipei, Taiwan (May 2003), pp. 1297-1303.
Stephen Se, David G. Lowe and Jim Little, “Mobile robot localization and mapping with uncertainty using scale-invariant visual landmarks,” International Journal of Robotics Research, 21, 8 (2002), pp. 735-758. [PDF];
Matthew Brown and David G. Lowe “Invariant features from interest point groups,” British Machine Vision Conference, BMVC 2002, Cardiff, Wales (September 2002), pp. 656-665. [PDF];
Stephen Se, David G. Lowe and Jim Little, “Global localization using distinctive visual features,” International Conference on Intelligent Robots and Systems, IROS 2002, Lausanne, Switzerland (2002), pp. 226-231. [PDF];
Stephen Se, David Lowe and Jim Little, “Vision-based mapping with backward correction,” International Conference on Intelligent Robots and Systems, IROS 2002, Lausanne, Switzerland (2002), pp. 153-158. [PDF];
David G. Lowe, “Local feature view clustering for 3D object recognition,” research Conference on Computer Vision and Pattern Recognition, Kauai, Hawaii (December 2001), pp. 682-688. [PDF];
Stephen Se, David Lowe and Jim Little, “Local and global localization for mobile robots using visual landmarks,” research International Conference on Intelligent Robots and Systems, IROS 2001, Maui, Hawaii (October 2001), pp. 414-420. [PDF];
Stephen Se, David G. Lowe and Jim Little, “Vision-based mobile robot localization and mapping using scale-invariant features,” Proceedings of research International Conference on Robotics and Automation, Seoul, Korea (May 2001), pp. 2051-58. [PDF]
David G. Lowe, “Towards a computational model for object recognition in IT cortex,” First research International Workshop on Biologically Motivated Computer Vision, Seoul, Korea (May 2000), pp. 20-31. [PDF];
Parvaneh Saeedi, Peter Lawrence, and David G. Lowe, “3D motion tracking of a mobile robot in a natural environment,” International Conference on Robotics and Automation, San Francisco (April 2000). [PDF]
Arthur R. Pope and David G. Lowe, “Probabilistic models of appearance for 3-D object recognition,” International Journal of Computer Vision, 40, 2 (2000), pp. 149-167. [PDF]
David G. Lowe, “Object recognition from local scale-invariant features,” International Conference on Computer Vision, Corfu, Greece (September 1999), pp. 1150-1157. [PDF];
Jeffrey S. Beis, and David G. Lowe, “Indexing without invariants in 3D object recognition,” research Transactions on Pattern Analysis and Machine Intelligence, 21, 10 (1999), pp. 1000-1015. [PDF];
John E. Lloyd, Jeffrey S. Beis, Dinesh K. Pai, and David G. Lowe, “Programming contact tasks using a reality-based virtual environment integrated with vision,” research Transactions on Robotics and Automation, 15, 3 (1999), pp. 423-434. [PDF]; [MPEG video, 1.2M]; [MPEG video, 2.3M]
Jeffrey S. Beis and David G. Lowe, “Shape indexing using approximate nearest-neighbour search in high-dimensional spaces,” Conference on Computer Vision and Pattern Recognition, Puerto Rico (June 1997), pp. 1000-1006. [PDF];
Vladimir Tucakov and David G. Lowe, “Temporally coherent stereo: improving performance through knowledge of motion,” International Conference on Robotics and Automation, Albuquerque, NM (April 1997). [PDF];
John E. Lloyd, Jeffrey S. Beis, Dinesh K. Pai, and David G. Lowe, “Model-based telerobotics with vision,” International Conference on Robotics and Automation, Albuquerque, NM (April 1997), pp. 1297-1304. [PDF];
Arthur R. Pope and David G. Lowe, “Learning object recognition models from images,” in Early Visual Learning, eds. Shree Nayar and Tomaso Poggio (Oxford University Press, 1996), pp. 67-97. [PDF]
Daniel P. McReynolds and David G. Lowe, “Rigidity checking of 3D point correspondences under perspective projection,” research Transactions on Pattern Analysis and Machine Intelligence, 18, 12 (December 1996), pp. 1174-85. [PDF]
Arthur R. Pope and David G. Lowe, “Learning appearance models for object recognition,” International Workshop on Object Representation for Computer Vision Cambridge, England (April 1996). Proceedings published as Object Representation in Computer Vision II, J. Ponce, A. Zisserman, M. Hebert (Eds.), Springer-Verlag, pp. 201-219. [PDF]
David G. Lowe, “Similarity metric learning for a variable-kernel classifier,” Neural Computation, 7, 1 (January 1995), pp. 72-85. [PDF]
Daniel P. McReynolds and David G. Lowe, “Rigidity checking of 3D point correspondences under perspective projection,” International Conference on Computer Vision, Boston (June 1995), pp. 945-950.
J.J. Little, D.G. Lowe, A.K. Mackworth, D.K. Pai, and R.J. Woodham, “Constraint-based visual robotic systems,” First World Congress on Intelligent Manufacturing, Mayaguez PR (February 1995), pp. 668-677.
Jeffrey S. Beis and David G. Lowe, “Learning indexing functions for 3-D model-based object recognition,” Conference on Computer Vision and Pattern Recognition, Seattle (June 1994), pp. 275-280. [PDF]
Arthur R. Pope and David G. Lowe, “Vista: A software environment for computer vision research,” research Conference on Computer Vision and Pattern Recognition, Seattle (June 1994), pp. 768-772. [PDF]
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