Object recognition

Results: 1078



#Item
581Imaging / Object recognition / Geometric primitive / Hough transform / Symmetry / 3D single object recognition / Shape / Pose / 3D pose estimation / Computer vision / Geometry / Vision

Object Recognition using constraints from Primitive Shape Matching Nikhil Somani‡ , Caixia Cai† , Alexander Perzylo‡ , Markus Rickert‡ , and Alois Knoll† ? Authors Affiliation: ‡Cyber-Physical Systems, fortis

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Source URL: www6.in.tum.de

Language: English - Date: 2014-12-23 05:46:10
582Statistics / 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
583Perception / Psychophysics / Stroop effect / Object recognition / Mind / Neuroscience / Psychology

Journal of Vision[removed]):14, 1–11 http://www.journalofvision.org/content[removed]

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Source URL: vision.stanford.edu

Language: English - Date: 2014-02-18 23:45:29
584Knowledge / Optics / Vision / Computer vision / Image processing / Philosophy of perception / Object recognition / Color / Mind / Philosophy of mind / Perception

Journal of Vision[removed]):10, 1–29 http://journalofvision.org[removed]

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Source URL: vision.stanford.edu

Language: English - Date: 2009-05-16 21:55:53
585Optics / 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
586California Institute of Technology / Caltech 101 / One-shot learning / Computer vision / Natural language processing / LabelMe / Object categorization from image search / Object recognition / Information retrieval / Artificial intelligence / Vision / Imaging

OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning Li-Jia Li1 , Gang Wang1 and Li Fei-Fei2 1 Dept. of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, USA

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Source URL: vision.stanford.edu

Language: English - Date: 2009-05-16 21:56:24
587Optics / Image processing / Object recognition / Computer vision / Vision / Imaging

Shifting Weights: Adapting Object Detectors from Image to Video Kevin Tang1 Vignesh Ramanathan2 Li Fei-Fei1

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Source URL: vision.stanford.edu

Language: English - Date: 2013-09-22 17:54:31
588Optics / Image processing / Segmentation / Object recognition / Symmetry / Vision / Imaging / Computer vision

Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework Li-Jia Li Dept. of Computer Science Princeton University, USA

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Source URL: vision.stanford.edu

Language: English - Date: 2013-09-22 18:53:40
589Imaging / 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
5903D single object recognition / Pose / 3D modeling / Caltech 101 / Stereoscopy / Segmentation / Symmetry / Computer vision / Vision / Object recognition

SavareseFei-Fei_ICCV2007_camera_ready.dvi

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Source URL: vision.stanford.edu

Language: English - Date: 2009-05-16 21:56:33
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