Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Mina Makar"'
Publikováno v:
Cureus.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::854be037d233711d486120e518aff361
https://doi.org/10.7759/cureus.38507
https://doi.org/10.7759/cureus.38507
Autor:
Thomas Neff, Philip Voglreiter, Mina Makar, Joerg H. Mueller, Markus Steinberger, Dieter Schmalstieg, Mark Dokter
Publikováno v:
ACM Transactions on Graphics. 37:1-16
Streaming high quality rendering for virtual reality applications requires minimizing perceived latency. We introduce Shading Atlas Streaming (SAS), a novel object-space rendering framework suitable for streaming virtual reality content. SAS decouple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89c161a76f4127c49e596ab3a1698f07
https://doi.org/10.1145/3272127.3275087
https://doi.org/10.1145/3272127.3275087
Autor:
Joerg H. Mueller, Dieter Schmalstieg, Thomas Neff, Mina Makar, Philip Voglreiter, Markus Steinberger
Publikováno v:
SIGGRAPH Emerging Technologies
Streaming high quality rendering for virtual reality applications requires minimizing perceived latency. Shading Atlas Streaming (SAS) [Mueller et al. 2018] is a novel object-space rendering framework suitable for streaming virtual reality content. S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5220f013798173bf8fb3789ca08c6084
https://doi.org/10.1145/3305367.3327981
https://doi.org/10.1145/3305367.3327981
Autor:
Mina Makar, Joerg H. Mueller, Dieter Schmalstieg, Thomas Neff, Mark Dokter, Philip Voglreiter, Markus Steinberger
Publikováno v:
ISMAR Adjunct
Streaming high quality rendering for virtual reality applications requires minimizing perceived latency. We introduce Shading Atlas Streaming (SAS) [1], a novel object-space rendering framework suitable for streaming virtual reality content. SAS deco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::753d9810115e14e558782135e49ef750
https://doi.org/10.1109/ismar-adjunct.2018.00128
https://doi.org/10.1109/ismar-adjunct.2018.00128
Publikováno v:
IEEE Transactions on Image Processing. 23:3352-3367
Streaming mobile augmented reality applications require both real-time recognition and tracking of objects of interest in a video sequence. Typically, local features are calculated from the gradients of a canonical patch around a keypoint in individu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34adaa5b8f889b00f0d73f51728b3128
https://doi.org/10.1109/tip.2014.2331136
https://doi.org/10.1109/tip.2014.2331136
Publikováno v:
International Journal of Semantic Computing. :5-24
Local features are widely used for content-based image retrieval and augmented reality applications. Typically, feature descriptors are calculated from the gradients of a canonical patch around a repeatable keypoint in the image. In this paper, we pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86c8fdd5688f92948d7309a1af2d9604
https://doi.org/10.1142/s1793351x13400011
https://doi.org/10.1142/s1793351x13400011
Publikováno v:
IEEE Transactions on Image Processing. 19:1740-1755
The direction-adaptive partitioned block transform (DA-PBT) is proposed to exploit the directional features in color images to improve coding performance. Depending on the directionality in an image block, the transform either selects one of the eigh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d148444b20ed8a4e429ee32e42dcfb78
https://doi.org/10.1109/tip.2010.2044964
https://doi.org/10.1109/tip.2010.2044964
Autor:
Huizhong Chen, Mina Makar, Vijay Chandrasekhar, David Chen, Bernd Girod, Sam S. Tsai, Roland Angst, Andre Araujo
Publikováno v:
ICIP
We study the challenges of image-based retrieval when the database consists of videos. This variation of visual search is important for a broad range of applications that require indexing video databases based on their visual contents. We present new
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e07f9a01aa5ea031953cf99d0be7fb3
https://doi.org/10.1109/icip.2014.7025623
https://doi.org/10.1109/icip.2014.7025623
Publikováno v:
ICME Workshops
Mobile augmented reality (MAR) systems utilize local features to represent structures such as corners or blobs in query videos and database images. Local features are compressed and sent to servers to perform query-database matching. The compression
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cbc65bd03b49263e94f97708e1de9c5
https://doi.org/10.1109/icmew.2014.6890631
https://doi.org/10.1109/icmew.2014.6890631
Publikováno v:
DCC
For mobile augmented reality, an image captured by a mobile device's camera is often compared against a database hosted on a remote server to recognize objects in the image. It is critically important that the amount of data transmitted over the netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::766da1aad31663eaaf375c3b1f4cedbf
https://doi.org/10.1109/dcc.2014.8
https://doi.org/10.1109/dcc.2014.8