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Feature detection
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#	Item
161	7258 • The Journal of Neuroscience, May 23, 2012 • 32(21):7258 –7266 Behavioral/Systems/Cognitive Initial Neighborhood Biases and the Quality of Motion Stimulation Jointly Influence the Rapid Emergence of Add to Reading List Source URL: www.jneurosci.org Language: English - Date: 2012-05-18 20:13:12 Cerebrum Perception Brain Central nervous system Visual cortex Visual perception Critical period Motion sensing in vision Feature detection
162	2013 IEEE Intelligent Vehicles Symposium (IV) June 23-26, 2013, Gold Coast, Australia A Review of Recent Developments in Vision-Based Vehicle Detection Sayanan Sivaraman and Mohan M. Trivedi Abstract—This document prov Add to Reading List Source URL: cvrr.ucsd.edu Language: English - Date: 2013-07-08 00:31:38 Intelligent transportation system Transportation engineering Feature detection Computer vision Advanced driver assistance systems Conference on Computer Vision and Pattern Recognition Automobile safety Chessboard detection Irfan Essa
163	Expanding the Uses of Convolution in GIS: A Moving Window Analysis as the Basis for a Reforestation Priority Index Robert Roth University of Wisconsin-Madison Add to Reading List Source URL: www.geography.wisc.edu Language: English - Date: 2009-09-06 16:06:36 Feature detection Image processing Reforestation Forest management Habitat Deforestation Convolution Kernel The Nature Conservancy Afforestation Geographic information system
164	© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promo Add to Reading List Source URL: www.wjscheirer.com Language: English - Date: 2011-12-05 18:03:14 Face recognition Feature detection Image processing Face detection Facial recognition system Template matching Image segmentation FERET Pattern recognition Canny edge detector KadirBrady saliency detector
165	Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships Mohit Iyyer,1 Anupam Guha,1 Snigdha Chaturvedi,1 Jordan Boyd-Graber,2 Hal Daum´e III1 1 University of Maryland, Department o Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2016-04-02 18:49:57 Feature detection Formal sciences Artificial neural networks Deep learning Topic model Word embedding Feature Statistics
166	PDF Document Add to Reading List Source URL: www.icdip.org Language: English - Date: 2016-06-21 06:36:18 Computer vision Feature detection Formal sciences Machine learning Image segmentation Image processing Pattern recognition Image analysis Artificial neural network Feature extraction Image registration Statistical classification
167	JOURNAL OF LATEX CLASS FILES, VOL. 6, NO. 1, JUNEA Dynamic Appearance Descriptor Approach to Facial Actions Temporal Modelling Add to Reading List Source URL: ibug.doc.ic.ac.uk Language: English - Date: 2015-11-12 06:27:04 Facial expressions Emotion Animal communication Encodings Facial Action Coding System Feature detection Image segmentation Facial expression Local binary patterns
168	IEEE 18th International Conference on Intelligent Transportation Systems, To Appear Traffic Light Detection: A Learning Algorithm and Evaluations on Challenging Dataset Mark P. Philipsen1,2 , Morten B. Jensen1,2 Add to Reading List Source URL: cvrr.ucsd.edu Language: English - Date: 2015-08-13 17:38:49 Feature detection Pedestrian detection Intelligent transportation system Advanced driver assistance systems Speeded up robust features
169	A Cotangent Laplacian for Images as Surfaces+2mm Add to Reading List Source URL: igl.ethz.ch Language: English - Date: 2012-04-17 02:41:37 Differential operators Feature detection Image processing Discrete Laplace operator Graph theory Laplace operator LaplaceBeltrami operator RGB color model Lazare Kaplan International Image segmentation Differential geometry of surfaces Color space
170	Project 3 Filter 2.1 This filter is pretty straightforward. All it has to do is invert the color of each pixel in the selected area. You should invert each of the red, green, and blue channels Add to Reading List Source URL: cs.brown.edu Language: English - Date: 2015-09-02 15:51:30 Image processing Feature detection Gaussian function Signal processing Filter theory Gaussian blur Bilateral filter Edge detection Filter Kernel Image scaling Photographic filter

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