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ACM OpenSource Award The VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local features extraction and matching. Algorithms include Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels, quick shift superpixels, large scale SVM training, and many others. It is ...

2.48 Rating by Usitestat

vlfeat.org was registered 1 decade 6 years ago. It has a alexa rank of #1,369,829 in the world. It is a domain having .org extension. It is estimated worth of $ 960.00 and have a daily income of around $ 4.00. As no active threats were reported recently, vlfeat.org is SAFE to browse.

Traffic Report

Daily Unique Visitors: 640
Daily Pageviews: 1,280

Estimated Valuation

Income Per Day: $ 4.00
Estimated Worth: $ 960.00

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Safety Information

Google Safe Browsing: No Risk Issues
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WOT Trustworthiness: Very Poor
WOT Privacy: Very Poor
WOT Child Safety: Very Poor

Website Ranks & Scores

Alexa Rank: 1,369,829
PageSpeed Score: 89 ON 100
Domain Authority: 49 ON 100
Bounce Rate: Not Applicable
Time On Site: Not Applicable

Web Server Information

Hosted IP Address:

64.90.48.57

Hosted Country:

United States US

Location Latitude:

33.9302

Location Longitude:

-117.888

Traffic Classification

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Search Engine Results For vlfeat.org

Tutorials > SIFT detector and descriptor - VLFeat

- https://www.vlfeat.org/overview/sift.html

Both the detector and descriptor are accessible by the vl_sift MATLAB command (there is a similar ... We compute the SIFT frames (keypoints) and descriptors by


Documentation > MATLAB API > SIFT - vl_sift - VLFeat

- https://www.vlfeat.org/matlab/vl_sift.html

F = VL_SIFT(I) computes the SIFT frames [1] (keypoints) F of the image I. I is a ...


Download > Compiling > Compiling on Windows - VLFeat

- https://www.vlfeat.org/compiling-windows.html

For Windows, the library bundles an NMake makefile ( Makefile.mak ). In order ...


Applications - VLFeat

- https://www.vlfeat.org/applications/apps.html

Basic recognition · PHOW features ( dense multi-scale SIFT descriptors) · Elkan k- ...


VLFeat.org · GitHub

- https://github.com/vlfeat

VLFeat.org has 9 repositories available. Follow their code on GitHub.


vlfeat/vlfeat: An open library of computer vision algorithms - GitHub

- https://github.com/vlfeat/vlfeat

VLFeat -- Vision Lab Features Library. Version 0.9.21. The VLFeat open source library implements popular computer vision algorithms specialising in image ...


vlfeat/vlfeat - File Exchange - MATLAB Central - MathWorks

- https://ww2.mathworks.cn/matlabcentral/fileexchange/47809-vlfeat-vlfeat?s_tid=FX_rc3_behav

3 Mar 2021 ... Please refer to the project homepage (http://www.vlfeat.org) for software releases, binary packages, documentation, examples, and tutorials.


VLFEATROOT\toolbox\vl_setup not found - MATLAB Answers ...

- https://www.mathworks.com/matlabcentral/answers/250845-vlfeatroot-toolbox-vl_setup-not-found

I just downloaded VLFeat binary and source packages from here : http://www. vlfeat.org/download/ and I am trying to install it on matab so first I wrote. Copy to ...


Part I VLFeat

- http://www.robots.ox.ac.uk/~vedaldi/assets/pubs/vedaldi10vlfeat-tutorial.pdf

It is expressend in units of spatial bins. Frames:: [not specified] help vl_sift http:// www/vlfeat.org/doc/mdoc/ ...


VLFeat - Home

- https://www.vlfeat.org/

VLFeat.org ... The VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local features extraction and ...


VLFeat - An open library of computer vision algorithms - BestOfCpp

- https://bestofcpp.com/repo/vlfeat-vlfeat-cpp-machine-learning

19 Feb 2021 ... vlfeat/vlfeat, VLFeat -- Vision Lab Features Library Version 0.9.21 The ... VLFeat. org ... Start MATLAB and run the VLFeat setup command:


Install Vlfeat in Matlab - Programmer Sought

- https://www.programmersought.com/article/87825766695/

Enter the official webpagehttp://www.vlfeat.org/. 1. Download the vlfeat installation package; 1.download vlfeat; 2. Install, put the downloaded installation  ...


VLFeat Reviews 2021: Details, Pricing, & Features | G2

- https://www.g2.com/products/vlfeat/reviews

Microsoft Computer Vision API is a cloud-based API tool that provides developers with access to advanced algorithms for processing images and returning ...


13: Feature Extraction - Robotics, Vision & Control

- https://petercorke.com/RVC1/chaps/13/

Comprehenshive list of databases, from Gonzalez & Woods. Region features. Blob detection (wikipedia) · MSER code + documentation(vlfeat.org); Chain codes ( ...


Vlfeat :: Anaconda.org

- https://anaconda.org/conda-forge/vlfeat

The VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local features extraction and matching.


Are all SIFTs created equal? (part 1) | by Dmytro Mishkin | Medium

- https://ducha-aiki.medium.com/are-all-sifts-created-equal-part-1-1dbdc565bffb

(image credit: http://www.vlfeat.org/sandbox/api/sift.html#sift-tech-descriptor). There are multiple implementations of SIFT algorithm, which differ in languages ...


Vlfeat | Proceedings of the 18th ACM international conference on ...

- https://dl.acm.org/doi/10.1145/1873951.1874249

25 Oct 2010 ... Vlfeat: an open and portable library of computer vision algorithms ... 2010 Pages 1469–1472https://doi.org/10.1145/1873951.1874249.


pyvlfeat · PyPI

- https://pypi.org/project/pyvlfeat/

4 May 2011 ... Python interface to the VLFeat computer vision library. ... Stable Extremal Regions (MSER); Quick shift image segmentation; http://vlfeat.org.


Debian -- Details of package libvlfeat-dev in sid

- https://packages.debian.org/unstable/libvlfeat-dev

[ Source: vlfeat ] ... Homepage [www.vlfeat.org] ... VLFeat implements popular computer vision algorithms including MSER, k-means, hierarchical k-means, ...


request in installing matConvNet in matlab? - Stack Overflow

- https://stackoverflow.com/questions/60692436/request-in-installing-matconvnet-in-matlab

... you to do like this. untar('http://www.vlfeat.org/matconvnet/download/ matconvnet-1.0-beta25.tar.gz') ;. BUT change the code line to be like this.

Page Resources Breakdown

Homepage Links Analysis

VLFeat - Home

Website Inpage Analysis

H1 Headings: 7 H2 Headings: 1
H3 Headings: Not Applicable H4 Headings: Not Applicable
H5 Headings: Not Applicable H6 Headings: Not Applicable
Total IFRAMEs: Not Applicable Total Images: 3
Google Adsense: Not Applicable Google Analytics: UA-4936091-2

Two Phrase Analysis

Words Occurrences Density Possible Spam
Using from 4 1.231 % No
detectors HOG 2 0.615 % No
Quick shift 2 0.615 % No
shift superpixels 2 0.615 % No
VLFeat 0921 2 0.615 % No
SIFT MSER 2 0.615 % No
Maintenance release 2 0.615 % No
released Maintenance 2 0.615 % No
Fisher Vector 2 0.615 % No
SLIC superpixels 2 0.615 % No
Compiling on 2 0.615 % No
Documentation MATLAB 2 0.615 % No
C API 2 0.615 % No
Windows Mac 2 0.615 % No
applications Citing 1 0.308 % No
SLIC Clustering 1 0.308 % No
Clustering IKM 1 0.308 % No
HIKM AIB 1 0.308 % No
shift SLIC 1 0.308 % No
IKM HIKM 1 0.308 % No

Four Phrase Analysis

Words Occurrences Density Possible Spam
MSER Quick shift SLIC 1 0.308 % No
SIFT MSER Quick shift 1 0.308 % No
HOG SIFT MSER Quick 1 0.308 % No
detectors HOG SIFT MSER 1 0.308 % No
Quick shift SLIC Clustering 1 0.308 % No
shift SLIC Clustering IKM 1 0.308 % No
IKM HIKM AIB Matching 1 0.308 % No
Clustering IKM HIKM AIB 1 0.308 % No
SLIC Clustering IKM HIKM 1 0.308 % No
Covariant detectors HOG SIFT 1 0.308 % No
Features Covariant detectors HOG 1 0.308 % No
algorithm descriptions Command line 1 0.308 % No
with algorithm descriptions Command 1 0.308 % No
API with algorithm descriptions 1 0.308 % No
descriptions Command line tools 1 0.308 % No
Command line tools Tutorials 1 0.308 % No
Tutorials Features Covariant detectors 1 0.308 % No
tools Tutorials Features Covariant 1 0.308 % No
line tools Tutorials Features 1 0.308 % No
HIKM AIB Matching Randomized 1 0.308 % No

HTTP Header Analysis

Http-Version: 1.1
Status-Code: 200
Status: 200 OK
Date: Sat, 17 Apr 2021 06:02:22 GMT
Server: Apache
Upgrade: h2
Connection: Upgrade
Last-Modified: Thu, 11 Jan 2018 21:47:09 GMT
ETag: "4c3f-5628716f93a04-gzip"
Accept-Ranges: bytes
Cache-Control: max-age=600
Expires: Sat, 17 Apr 2021 06:12:22 GMT
Vary: Accept-Encoding,User-Agent
Content-Encoding: gzip
Content-Length: 6191
Content-Type: text/html

Domain Information

Domain Registrar: Public Interest Registry
Registration Date: 2008-10-10 1 decade 6 years 1 month ago

Domain Nameserver Information

Host IP Address Country
ns1.dreamhost.com 162.159.26.14 United States United States
ns2.dreamhost.com 162.159.26.81 United States United States
ns3.dreamhost.com 162.159.27.84 United States United States

DNS Record Analysis

Host Type TTL Extra
vlfeat.org A 1793 IP: 64.90.48.57
vlfeat.org NS 14400 Target: ns2.dreamhost.com
vlfeat.org NS 14400 Target: ns1.dreamhost.com
vlfeat.org NS 14400 Target: ns3.dreamhost.com
vlfeat.org SOA 1800 MNAME: ns1.dreamhost.com
RNAME: hostmaster.dreamhost.com
Serial: 2020071701
Refresh: 18381
Retry: 600
Expire: 1814400
vlfeat.org MX 1800 Target: mx1.dreamhost.com
vlfeat.org MX 1800 Target: mx2.dreamhost.com
vlfeat.org TXT 1800 TXT: v=spf1 mx
include:netblocks.dreamhost.com
include:relay.mailchannels.net -all

Full WHOIS Lookup

Domain Name: VLFEAT.ORG
Registry Domain ID:
D154437631-LROR
Registrar WHOIS Server:
whois.godaddy.com
Registrar URL:
http://www.whois.godaddy.com
Updated Date:
2016-07-13T08:48:52Z
Creation Date:
2008-10-10T09:10:55Z
Registry Expiry Date:
2021-10-10T09:10:55Z
Registrar Registration Expiration
Date:
Registrar: GoDaddy.com, LLC
Registrar IANA ID:
146
Registrar Abuse Contact Email: [email protected]
Registrar
Abuse Contact Phone: +1.4806242505
Reseller:
Domain Status:
clientDeleteProhibited
https://icann.org/epp#clientDeleteProhibited
Domain Status:
clientRenewProhibited
https://icann.org/epp#clientRenewProhibited
Domain Status:
clientTransferProhibited
https://icann.org/epp#clientTransferProhibited
Domain Status:
clientUpdateProhibited
https://icann.org/epp#clientUpdateProhibited
Registrant
Organization:
Registrant State/Province:
Oxfordshire
Registrant Country: GB
Name Server:
NS1.DREAMHOST.COM
Name Server: NS2.DREAMHOST.COM
Name Server:
NS3.DREAMHOST.COM
DNSSEC: unsigned
URL of the ICANN Whois
Inaccuracy Complaint Form https://www.icann.org/wicf/)
>>> Last
update of WHOIS database: 2021-04-17T06:01:26Z

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