Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Mircea Ionita"'
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 37:1862-1874
A widely used approach for locating points on deformable objects in images is to generate feature response images for each point, and then to fit a shape model to these response images. We demonstrate that Random Forest regression-voting can be used
Publikováno v:
International Journal of Computer Vision. 96:280-289
This paper presents an implementation of the Active Appearance Model that is able to track a face on a mobile device in real-time. We achieve this performance by discarding an explicit texture model, using fixed-point arithmetic for much of the compu
Publikováno v:
IEEE Transactions on Consumer Electronics. 54:1312-1320
A statistical Active Appearance Model (AAM) is developed to track and detect eye blinking. The model has been designed to be robust to variations of head pose or gaze. In particular we analyze and determine the model parameters which encode the varia
Autor:
Kia Amiri, I. Arokiasamy, Michael C. Brogioli, Cristian Caciuloiu, Joseph R. Cavallaro, Stephen Dew, Chris Dick, Melissa Duarte, Michelle Fleischer, Umang Garg, Vatsal Gaur, Mircea Ionita, Nitin Jain, Michael Kardonik, Robert Krutsch, Tai Ly, Akshitij Malik, Robert Oshana, Raghu Rao, Ashutosh Sabharwal, Yang Sun, Adrian Susan, Andrew Temple, Guohui Wang, Bei Yin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9deb60c3cdfff0a6ca953442b5b02e25
https://doi.org/10.1016/b978-0-12-386535-9.11001-7
https://doi.org/10.1016/b978-0-12-386535-9.11001-7
Publikováno v:
Computer Vision – ECCV 2012 ISBN: 9783642337857
ECCV (7)
ECCV (7)
A widely used approach for locating points on deformable objects is to generate feature response images for each point, then to fit a shape model to the response images. We demonstrate that Random Forest regression can be used to generate high qualit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::beb7ad32d1443ea6ef282af86f671b2f
https://doi.org/10.1007/978-3-642-33786-4_21
https://doi.org/10.1007/978-3-642-33786-4_21
Publikováno v:
ICCV Workshops
We present an efficient and accurate algorithm for face tracking using a set of Active Appearance Models (AAMs). We observe that a single AAM, trained at a particular model resolution and a particular range of displacements, has a “sweet spot” -
In this paper we consider how next generation of smart cameras will move beyond face detection and tracking to develop more useful analysis tools for determining the expressions and emotions of the subjects in images. An initial proof-of-concept usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a5a77e9c746685ec2ac63deee46cd3f
http://hdl.handle.net/10379/3300
http://hdl.handle.net/10379/3300
Autor:
Mircea Ionita, Peter Corcoran
Publikováno v:
ICE-GIC
Making use of a class of 2D statistical face models known as active appearance models (AAMs), we investigate a technique for generating real-time animated avatars suitable for video gaming. We consider here a number of improvements of these models in
Publikováno v:
ICE-GIC
Techniques for improved 2D active appearance face models are presented. When these are applied to stereoscopic image pairs we show that sufficient information on image depth is obtained to generate an approximate 3D face model. Two techniques are inv
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 18(6)
The extension of the standard grayscale active appearance model (AAM) techniques to color images is investigated. Prior work in this field has mainly focused on RGB color models which did not demonstrate noticeable benefits over grayscale models from