Dogface Detection and Localization of Dogface's Landmarks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F19%3A63520502" target="_blank" >RIV/70883521:28140/19:63520502 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-319-91189-2_46" target="_blank" >http://dx.doi.org/10.1007/978-3-319-91189-2_46</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-91189-2_46" target="_blank" >10.1007/978-3-319-91189-2_46</a>

Result language

angličtina

Original language name

Dogface Detection and Localization of Dogface's Landmarks

Original language description

The paper deals with an approach for a reliable dogface detection in an image using the convolutional neural networks. Two detectors were trained on a dataset containing 8351 real-world images of different dog breeds. The first detector achieved the average precision equal to 0.79 while running real-time on single CPU, the second one achieved the average precision equal to 0.98 but more time for processing is necessary. Consequently, the facial landmark detector using the cascade of regressors was proposed based on those, which are commonly used in human face detection. The proposed lgorithm is able to detect dog’s eyes, a muzzle, a top of the head and inner bases of the ears with the 0.05 median location error normalized by the inter-ocular distance. The proposed two-step technique – a dogface detection with following facial landmark detector - could be utilized for a dog breeds dentification and consequent auto-tagging and image searches. The paper demonstrates a real-world application of the proposed technique – a successful supporting system for taking pictures of dogs facing the camera.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Advances in Intelligent Systems and Computing, Volume 764

ISBN

978-3-319-91188-5

ISSN

2194-5357

e-ISSN

2194-5365

Number of pages

12

Pages from-to

465-476

Publisher name

Springer Verlag

Place of publication

Berlín

Event location

Zlín

Event date

Apr 25, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000460247600046