Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Till Quack"'
Autor:
Lukas Bossard, Matthias Dantone, Luc Van Gool, Till Quack, Christian Wengert, Christian Leistner
Publikováno v:
Computer Vision – ACCV 2012 ISBN: 9783642374463
ACCV (4)
ACCV (4)
We introduce a complete pipeline for recognizing and classifying people's clothing in natural scenes. This has several interesting applications, including e-commerce, event and activity recognition, online advertising, etc. The stages of the pipeline
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a65c14b3f8fc52b640e47349a1a139a8
https://lirias.kuleuven.be/handle/123456789/377377
https://lirias.kuleuven.be/handle/123456789/377377
Autor:
Cristi Prodan, Till Quack, Peter Cech, David Wisti, Franco Sebregondi, Tomas Carnecky, Philippe Messmer, Christian Wengert, Tobias Jaeggli
Publikováno v:
ACM Multimedia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25088dcaec60d6a92a05f311c859bdad
https://doi.org/10.1145/2072298.2072440
https://doi.org/10.1145/2072298.2072440
Publikováno v:
2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80927674adc9ebda69328bc798c97f0a
https://doi.org/10.1109/iccvw.2011.6130218
https://doi.org/10.1109/iccvw.2011.6130218
Publikováno v:
CVPR
This paper introduces a simple yet effective method to improve visual word based image retrieval. Our method is based on an analysis of the k-reciprocal nearest neighbor structure in the image space. At query time the information obtained from this p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df7604202df64169e12bf99dfe210fff
https://doi.org/10.1109/cvpr.2011.5995373
https://doi.org/10.1109/cvpr.2011.5995373
Publikováno v:
CVPR Workshops
In this paper we present a system for mobile augmented reality (AR) based on visual recognition. We split the tasks of recognizing an object and tracking it on the user's screen into a server-side and a client-side task, respectively. The capabilitie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0865c71ced381399956bb2507a792ea
https://doi.org/10.1109/cvprw.2010.5543248
https://doi.org/10.1109/cvprw.2010.5543248
Publikováno v:
Computer Vision – ECCV 2010 ISBN: 9783642155482
ECCV (1)
ECCV (1)
Most of the recent work on image-based object recognition and 3D reconstruction has focused on improving the underlying algorithms. In this paper we present a method to automatically improve the quality of the reference database, which, as we will sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d72398ea52f788b4fe409b5bf3024d1f
https://doi.org/10.1007/978-3-642-15549-9_53
https://doi.org/10.1007/978-3-642-15549-9_53
Publikováno v:
ICCV
The state-of-the art in visual object retrieval from large databases allows to search millions of images on the object level. Recently, complementary works have proposed systems to crawl large object databases from community photo collections on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77fb7b3679580d728b3f527ceecf4b3c
https://doi.org/10.1109/iccv.2009.5459180
https://doi.org/10.1109/iccv.2009.5459180
Publikováno v:
CIVR
So far, most image mining was based on interactive querying. Although such querying will remain important in the future, several applications need image mining at such wide scales that it has to run automatically. This adds an additional level to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ccaf00ceea61a94fc15653153a5965f
https://doi.org/10.1145/1646396.1646410
https://doi.org/10.1145/1646396.1646410
Publikováno v:
CIVR
In this paper, we describe an approach for mining images of objects (such as touristic sights) from community photo collections in an unsupervised fashion. Our approach relies on retrieving geotagged photos from those web-sites using a grid of geospa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02e0faea92e320343e471faabc4a5b72
https://doi.org/10.1145/1386352.1386363
https://doi.org/10.1145/1386352.1386363
Publikováno v:
The Internet of Things ISBN: 9783540787303
IOT
IOT
We present a system which allows to request information on physical objects by taking a picture of them. This way, using a mobile phone with integrated camera, users can interact with objects or "things" in a very simple manner. A further advantage i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab70897fdd33131b6cbab1ffa72cdcf4
https://doi.org/10.1007/978-3-540-78731-0_15
https://doi.org/10.1007/978-3-540-78731-0_15