Object recognition

Results: 1078



#Item
421Computer vision / Contextual cueing / Visual system / Brain / Moshe Bar / Visual search / Visual memory / Object recognition / Pose / Mind / Cognitive science / Vision

doi:[removed]j.tics[removed]

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Source URL: cvcl.mit.edu

Language: English - Date: 2007-12-05 13:28:30
422Imaging / Support vector machine / Caltech 101 / Histogram / Codebook / Feature / Object recognition / Bag of words model in computer vision / Computer vision / Statistics / Vision

Linear Spatial Pyramid Matching Using Sparse Coding for Image Classification † Jianchao Yang† , Kai Yu‡ , Yihong Gong‡ , Thomas Huang†

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Source URL: www.ifp.illinois.edu

Language: English - Date: 2014-03-12 02:56:18
423Computer vision / Photometry / Color / Image processing / Lab color space / Object recognition / Contrast / Perception / Trap / Optics / Vision / Mind

Cognitive Psychology 41, 176–[removed]doi:[removed]cogp[removed], available online at http://www.idealibrary.com on Diagnostic Colors Mediate Scene Recognition Aude Oliva and Philippe G. Schyns University of Glasgow,

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Source URL: cvcl.mit.edu

Language: English - Date: 2002-10-16 00:00:00
424Geometry / Optics / Feature detection / Maximally stable extremal regions / Object recognition / Reflection symmetry / Shape context / Rotational symmetry / Local symmetry / Computer vision / Symmetry / Vision

Image Matching using Local Symmetry Features Daniel Cabrini Hauagge Noah Snavely Cornell University {hauagge,snavely}@cs.cornell.edu

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Source URL: www.cs.cornell.edu

Language: English - Date: 2012-04-10 18:24:38
425Vision / Optics / 3D computer graphics / Structure from motion / Optical flow / 3D modeling / Tomasi–Kanade factorization / 3D single object recognition / Visual effects / Computer vision / Imaging

Microsoft PowerPoint - VP4S06_Poster_Wei.ppt

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Source URL: www.computer-vision.org

Language: English - Date: 2011-04-19 21:37:17
426Nonverbal communication / Object detection / Science / Face recognition / Surveillance / Face detection

“The Listening Eye”: a non-verbal sensing device for interactive systems Nick CAMPBELL 1 1

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Source URL: damien.douxchamps.net

Language: English - Date: 2015-03-29 10:38:28
427Vision / Optics / Segmentation / Image resolution / Image noise / Object recognition / Scale-invariant feature transform / Image processing / Computer vision / Imaging

[removed]MVA2013 IAPR International Conference on Machine Vision Applications, May 20-23, 2013, Kyoto, JAPAN Robust Left Object Detection and Verification in Video Surveillance Yijun Xiao, Abdul Farooq, Melvyn Smith

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Source URL: www.mva-org.jp

Language: English - Date: 2013-11-30 07:27:48
428Vision / Image processing / Segmentation / Object recognition / Stereopsis / Pose / K-means clustering / Symmetry / Cluster analysis / Imaging / Optics / Computer vision

Object Disappearance for Object Discovery Julian Mason and Bhaskara Marthi and Ronald Parr Abstract— A useful capability for a mobile robot is the ability to recognize the objects in its environment that move and chang

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Source URL: www.cs.duke.edu

Language: English - Date: 2012-09-03 16:35:06
429Computing / Computer vision / Image processing / Method / Segmentation / Object / Function overloading / Class / LabelMe / Software engineering / Object-oriented programming / Computer programming

Unsupervised Discovery of Object Classes with a Mobile Robot Julian Mason and Bhaskara Marthi and Ronald Parr Abstract— Object detection and recognition are fundamental capabilities for a mobile robot. Objects are a po

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Source URL: www.cs.duke.edu

Language: English - Date: 2014-05-30 18:57:17
430Vision / Imaging / Ensemble learning / Face recognition / AdaBoost / Face detection / Viola–Jones object detection framework / Wavelet / Scale space / Artificial intelligence / Computer vision / Image processing

A System for Traffic Sign Detection, Tracking, and Recognition Using Color, Shape, and Motion Information Claus Bahlmann∗ , Ying Zhu∗ , Visvanathan Ramesh∗ ∗ Siemens

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Source URL: lmb.informatik.uni-freiburg.de

Language: English - Date: 2012-06-18 23:39:57
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