Feature recognition

Results: 683



#Item
371Optics / Visual descriptors / Object recognition / 3D single object recognition / Time-of-flight camera / Feature / Vector Field Histogram / Pose / Segmentation / Computer vision / Vision / Imaging

All-Season 3D Object Recognition Challenges Levente Tamas1 and Bjoern Jensen2 Abstract— Both the appearance based place and object recognition is heavily influenced by the weather conditions. This is valid for data acq

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Source URL: www.roboticslab.ti.bfh.ch

Language: English - Date: 2014-09-09 03:33:08
372Histogram of oriented gradients / Feature / Orientation / Object recognition / Euclidean vector / Vector space / Histogram / Segmentation / Scale-invariant feature transform / Computer vision / Algebra / Mathematics

ESTIMATING PLANAR STRUCTURE IN SINGLE IMAGES BY LEARNING FROM EXAMPLES Osian Haines and Andrew Calway University of Bristol, UK {haines, andrew}@cs.bris.ac.uk

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Source URL: www.cs.bris.ac.uk

Language: English - Date: 2014-03-11 07:06:25
373Face recognition / Image processing / Face detection / Viola–Jones object detection framework / Haar-like features / AdaBoost / Feature detection / Optical flow / Tracking / Computer vision / Vision / Artificial intelligence

TRACKING ANIMALS IN WILDLIFE VIDEOS USING FACE DETECTION TILO BURGHARDT, JANKO ĆALIĆ, BARRY T. THOMAS Dept. of Computer Science, University of Bristol,

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Source URL: www.cs.bris.ac.uk

Language: English - Date: 2014-03-11 07:04:42
374Statistics / Computer vision / Ensemble learning / Binary trees / Image processing / Random forest / Object recognition / Feature selection / Segmentation / Machine learning / Artificial intelligence / Decision trees

Combining Randomization and Discrimination for Fine-Grained Image Categorization Bangpeng Yao∗ Aditya Khosla∗ Li Fei-Fei Computer Science Department, Stanford University, Stanford, CA

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Source URL: vision.stanford.edu

Language: English - Date: 2013-09-22 18:20:29
375Optics / Image processing / Feature / Object recognition / Boosting methods for object categorization / Computer vision / Vision / Imaging

Object-centric spatial pooling for image classification Olga Russakovsky1, Yuanqing Lin2 , Kai Yu3 , and Li Fei-Fei1 1 2 3

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Source URL: ai.stanford.edu

Language: English - Date: 2012-08-01 23:51:02
376Imaging / Optics / Object recognition / Segmentation / LabelMe / Feature / Caltech 101 / One-shot learning / Computer vision / Vision / Image processing

Int J Comput Vis DOI[removed]s11263[removed]x Object Bank: An Object-Level Image Representation for High-Level Visual Recognition Li-Jia Li · Hao Su · Yongwhan Lim · Li Fei-Fei

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Source URL: vision.stanford.edu

Language: English - Date: 2013-11-09 20:02:39
377Feature / Segmentation / Object recognition / Vector Field Histogram / SURF / Scale-invariant feature transform / Histogram of oriented gradients / Computer vision / Artificial intelligence / Visual descriptors

Robustness Analysis of 3D Feature Descriptors for Object Recognition Using a Time-of-Flight Camera Levente Tamas1 and Bjoern Jensen2 Abstract— In this paper we propose to analyze characteristics of the feature descript

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Source URL: www.roboticslab.ti.bfh.ch

Language: English - Date: 2014-09-09 06:10:35
378One-shot learning / Shape context / Scale space / Part-based models / LabelMe / Object recognition / Pose / Linear classifier / Supervised learning / Computer vision / Vision / Imaging

Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification Li-Jia Li*1 , Hao Su*1 , Eric P. Xing2 , Li Fei-Fei1 1 Computer Science Department, Stanford University 2 Machine

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Source URL: vision.stanford.edu

Language: English - Date: 2013-09-22 18:29:30
379Object recognition / 3D single object recognition / Scale-invariant feature transform / Pose / SURF / Pattern recognition / Hough transform / Bag of words model in computer vision / Computer vision / Vision / Imaging

Local Feature View Clustering for 3D Object Recognition David G. Lowe Computer Science Department University of British Columbia Vancouver, B.C., V6T 1Z4, Canada [removed]

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Source URL: www.cs.ubc.ca

Language: English - Date: 2001-09-16 01:33:24
380Imaging / Caltech 101 / Feature selection / Object recognition / Pose / K-nearest neighbor algorithm / Computer vision / Artificial intelligence / Vision

Grouplet: A Structured Image Representation for Recognizing Human and Object Interactions Bangpeng Yao Li Fei-Fei Computer Science Department, Stanford University, USA {bangpeng,feifeili}@cs.stanford.edu

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Source URL: vision.stanford.edu

Language: English - Date: 2013-09-22 18:30:00
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