<--- Back to Details
First PageDocument Content
Optics / Object recognition / SURF / Corner detection / Scale-invariant feature transform / David G. Lowe / Feature / Scale space / Computer vision / Vision / Imaging
Date: 2013-10-15 08:51:30
Optics
Object recognition
SURF
Corner detection
Scale-invariant feature transform
David G. Lowe
Feature
Scale space
Computer vision
Vision
Imaging

Bauer, J., S¨ underhauf, N., & Protzel, P[removed]Comparing Several Implementations of Two Recently Published Feature Detectors. In Proc. of the International Conference on Intelligent and Autonomous Systems, IAV, Toulouse, France.

Add to Reading List

Source URL: www.tu-chemnitz.de

Download Document from Source Website

File Size: 928,70 KB

Share Document on Facebook

Similar Documents

Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition Tim Althoff, Hyun Oh Song, Trevor Darrell UC Berkeley EECS/ICSI Multimedia Event Detection

Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition Tim Althoff, Hyun Oh Song, Trevor Darrell UC Berkeley EECS/ICSI Multimedia Event Detection

DocID: 1xTRG - View Document

Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition Tim Althoff UC Berkeley EECS/ICSI

Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition Tim Althoff UC Berkeley EECS/ICSI

DocID: 1xTvu - View Document

Report  Integration Trumps Selection in Object Recognition Highlights d

Report Integration Trumps Selection in Object Recognition Highlights d

DocID: 1vs18 - View Document

A framework for 3D object recognition using the kernel constrained mutual subspace method Kazuhiro Fukui1 , Bj¨orn Stenger2 , and Osamu Yamaguchi2 1  Graduate School of Systems and Information Engineering, University of

A framework for 3D object recognition using the kernel constrained mutual subspace method Kazuhiro Fukui1 , Bj¨orn Stenger2 , and Osamu Yamaguchi2 1 Graduate School of Systems and Information Engineering, University of

DocID: 1vrKr - View Document

Study Group “Image Object Recognition” SS 2016 Type Ü2

Study Group “Image Object Recognition” SS 2016 Type Ü2

DocID: 1vmoo - View Document