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Feature detection
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#	Item
351	Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe Computer Science Department University of British Columbia Vancouver, B.C., Canada Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2004-02-20 21:10:40 Vision Optics Scale-invariant feature transform Scale space Object recognition Feature detection Gaussian function Corner detection Scale invariance Computer vision Image processing Imaging
352	Do Convnets Learn Correspondence? Jonathan Long Ning Zhang Trevor Darrell University of California – Berkeley Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-11-18 21:10:51 Object recognition K-nearest neighbor algorithm Face detection Pose Optical flow Scale-invariant feature transform Computer vision Artificial intelligence Vision
353	Principles for Automatic Scale Selection Tony Lindeberg Computational Vision and Active Perception Laboratory (CVAP) Department of Numerical Analysis and Computing Science KTH (Royal Institute of Technology) S[removed]Sto Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2004-03-03 13:18:13 Mathematical analysis Scale space Ridge detection Blob detection Gaussian function Derivative Edge detection Feature detection Trigonometric functions Computer vision Image processing Mathematics
354	Appendix 3A: Deliverability Strategy[removed]to[removed]February 2013 Add to Reading List Source URL: www.aer.gov.au Language: English - Date: 2013-04-02 21:17:48 Image processing Optics Segmentation Face detection Pedestrian detection Dutch East India Company CNN Volatile organic compound Feature extraction Vision Computer vision Imaging
355	Rich feature hierarchies for accurate object detection and semantic segmentation Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik UC Berkeley {rbg,jdonahue,trevor,malik}@eecs.berkeley.edu Abstract Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-05-10 14:50:49 Image processing Optics Segmentation Face detection Pedestrian detection Dutch East India Company CNN Volatile organic compound Feature extraction Vision Computer vision Imaging
356	Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe Computer Science Department University of British Columbia Vancouver, B.C., Canada Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2006-02-01 17:05:02 Vision Optics Scale-invariant feature transform Scale space Object recognition Feature detection Gaussian function Corner detection Scale invariance Computer vision Image processing Imaging
357	DOCX Document Add to Reading List Source URL: chemsea.eu Language: English - Date: 2015-01-30 16:04:51 Diving equipment Acronyms Side-scan sonar Segmentation Edge detection Vision Technology Feature detection Image processing Sonar Computer vision
358	IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 6, NO. 1, JANUARY[removed]Automatic Target Recognition by Matching Oriented Edge Pixels Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2006-02-01 17:05:01 Computer graphics Vision Pixel Edge detection Histogram equalization Image noise Object recognition Scale-invariant feature transform Image processing Computer vision Imaging
359	Construction of a Scale-Space Primal Sketch Tony Lindeberg, Jan-Olof Eklundh Computational Vision and Active Perception Laboratory (CVAP) * Royal Institute of Technology S[removed]Stockholm, Sweden Email: [removed] Add to Reading List Source URL: www.bmva.org Language: English - Date: 2013-02-28 12:11:30 Blob detection Scale space Segmentation The Blob Binary large object Feature Blob Feature detection Image processing Computer vision Vision
360	Sensor Placement for Activity Detection using Wearable Accelerometers Louis Atallah, Benny Lo, Rachel King and Guang-Zhong Yang Department of Computing Imperial College London London UK, SW7 2AZ Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2010-08-03 13:23:15 Sensors Artificial intelligence Accelerometers Activity recognition Feature selection Body area network Wireless sensor network Technology Wireless networking Science

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