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Fadi Dornaika; Bogdan Raducanu | ||||
| Title | Efficient Facial Expression Recognition for Human Robot Interaction | Type | Conference Article | ||
| Year | 2007 | Publication | Computational and Ambient Intelligence, 9th International Work–Conference on Artificial Neural Networks | Abbreviated Journal | |
| Volume | 4507 | Issue | Pages | 700–708 | |
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| Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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| Area | Expedition | Conference | IWANN | ||
| Notes | OR;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ DoR2007a | Serial | 792 | ||
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| Author |
Fadi Dornaika; Bogdan Raducanu | ||||
| Title | Recognizing Facial Expressions in Videos Using a Facial Action Analysis-Synthesis Scheme | Type | Miscellaneous | ||
| Year | 2006 | Publication | International Conference on Advanced Video and Signal Based Surveillance, (AVSS 2006), ISBN: 0–7695–2688–8 | Abbreviated Journal | |
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| Address | Sydney (Australia) | ||||
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| Notes | OR;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ DoR2006 | Serial | 799 | ||
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| Author |
Fadi Dornaika; Bogdan Raducanu | ||||
| Title | Inferring Facial Expressions from Videos: Tool and Application | Type | Journal | ||
| Year | 2007 | Publication | Signal Processing: Image Communication, vol. 22(9):769–784 | Abbreviated Journal | |
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| Notes | OR;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ DoR2007b | Serial | 918 | ||
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| Author |
Fadi Dornaika; Bogdan Raducanu | ||||
| Title | Detecting and Tracking of 3D Face Pose for Human-Robot Interaction | Type | Conference Article | ||
| Year | 2008 | Publication | IEEE International Conference on Robotics and Automation, | Abbreviated Journal | |
| Volume | Issue | Pages | 1716–1721 | ||
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| Address | Pasadena; CA; USA | ||||
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| Area | Expedition | Conference | ICRA | ||
| Notes | OR;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ DoR2008a | Serial | 982 | ||
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| Author |
Fadi Dornaika; Bogdan Raducanu | ||||
| Title | Constructing Panoramic Views Through Facial Gaze Tracking | Type | Conference Article | ||
| Year | 2008 | Publication | IEEE International Conference on Multimedia and Expo, | Abbreviated Journal | |
| Volume | Issue | Pages | 969–972 | ||
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| Address | Hannover (Germany) | ||||
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| Area | Expedition | Conference | ICME | ||
| Notes | OR;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ DoR2008b | Serial | 983 | ||
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| Author |
Fadi Dornaika; Bogdan Raducanu | ||||
| Title | Facial Expression Recognition for HCI Applications | Type | Book Chapter | ||
| Year | 2008 | Publication | Encyclopedia of Artificial Intelligence | Abbreviated Journal | |
| Volume | II | Issue | Pages | 625–631 | |
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| Publisher | IGI–Global Publisher | Place of Publication | Editor | Rabuñal | |
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| Notes | OR;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ DoR2008c | Serial | 1034 | ||
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| Author |
Fadi Dornaika; Bogdan Raducanu | ||||
| Title | 3D Face Pose Detection and Tracking Using Monocular Videos: Tool and Application | Type | Journal | ||
| Year | 2008 | Publication | IEEE Transactions on Systems, Man and Cybernetics (Part B) (IEEE) | Abbreviated Journal | |
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| Notes | OR;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ DoR2008d | Serial | 1109 | ||
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| Author |
Fadi Dornaika; Bogdan Raducanu | ||||
| Title | Three-Dimensional Face Pose Detection and Tracking Using Monocular Videos: Tool and Application | Type | Journal Article | ||
| Year | 2009 | Publication | IEEE Transactions on Systems, Man and Cybernetics part B | Abbreviated Journal | TSMCB |
| Volume | 39 | Issue | 4 | Pages | 935–944 |
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| Abstract | Recently, we have proposed a real-time tracker that simultaneously tracks the 3-D head pose and facial actions in monocular video sequences that can be provided by low quality cameras. This paper has two main contributions. First, we propose an automatic 3-D face pose initialization scheme for the real-time tracker by adopting a 2-D face detector and an eigenface system. Second, we use the proposed methods-the initialization and tracking-for enhancing the human-machine interaction functionality of an AIBO robot. More precisely, we show how the orientation of the robot's camera (or any active vision system) can be controlled through the estimation of the user's head pose. Applications based on head-pose imitation such as telepresence, virtual reality, and video games can directly exploit the proposed techniques. Experiments on real videos confirm the robustness and usefulness of the proposed methods. | ||||
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| Notes | OR;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ DoR2009a | Serial | 1218 | ||
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| Author |
Fadi Dornaika; Bogdan Raducanu | ||||
| Title | Simultaneous 3D face pose and person-specific shape estimation from a single image using a holistic approach | Type | Conference Article | ||
| Year | 2009 | Publication | IEEE Workshop on Applications of Computer Vision | Abbreviated Journal | |
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| Abstract | This paper presents a new approach for the simultaneous estimation of the 3D pose and specific shape of a previously unseen face from a single image. The face pose is not limited to a frontal view. We describe a holistic approach based on a deformable 3D model and a learned statistical facial texture model. Rather than obtaining a person-specific facial surface, the goal of this work is to compute person-specific 3D face shape in terms of a few control parameters that are used by many applications. The proposed holistic approach estimates the 3D pose parameters as well as the face shape control parameters by registering the warped texture to a statistical face texture, which is carried out by a stochastic and genetic optimizer. The proposed approach has several features that make it very attractive: (i) it uses a single grey-scale image, (ii) it is person-independent, (iii) it is featureless (no facial feature extraction is required), and (iv) its learning stage is easy. The proposed approach lends itself nicely to 3D face tracking and face gesture recognition in monocular videos. We describe extensive experiments that show the feasibility and robustness of the proposed approach. | ||||
| Address | Utah, USA | ||||
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| ISSN | 1550-5790 | ISBN | 978-1-4244-5497-6 | Medium | |
| Area | Expedition | Conference | WACV | ||
| Notes | OR;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ DoR2009b | Serial | 1256 | ||
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| Author |
Fadi Dornaika; Bogdan Raducanu | ||||
| Title | Single Snapshot 3D Head Pose Initialization for Tracking in Human Robot Interaction Scenario | Type | Conference Article | ||
| Year | 2010 | Publication | 1st International Workshop on Computer Vision for Human-Robot Interaction | Abbreviated Journal | |
| Volume | Issue | Pages | 32–39 | ||
| Keywords | 1st International Workshop on Computer Vision for Human-Robot Interaction, in conjunction with IEEE CVPR 2010 | ||||
| Abstract | This paper presents an automatic 3D head pose initialization scheme for a real-time face tracker with application to human-robot interaction. It has two main contributions. First, we propose an automatic 3D head pose and person specific face shape estimation, based on a 3D deformable model. The proposed approach serves to initialize our realtime 3D face tracker. What makes this contribution very attractive is that the initialization step can cope with faces
under arbitrary pose, so it is not limited only to near-frontal views. Second, the previous framework is used to develop an application in which the orientation of an AIBO’s camera can be controlled through the imitation of user’s head pose. In our scenario, this application is used to build panoramic images from overlapping snapshots. Experiments on real videos confirm the robustness and usefulness of the proposed methods. |
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| Address | San Francisco; CA; USA; June 2010 | ||||
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| ISSN | 2160-7508 | ISBN | 978-1-4244-7029-7 | Medium | |
| Area | Expedition | Conference | CVPRW | ||
| Notes | OR;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ DoR2010a | Serial | 1309 | ||
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| Author |
Fadi Dornaika; Bogdan Raducanu | ||||
| Title | Person-specific face shape estimation under varying head pose from single snapshots | Type | Conference Article | ||
| Year | 2010 | Publication | 20th International Conference on Pattern Recognition | Abbreviated Journal | |
| Volume | Issue | Pages | 3496–3499 | ||
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| Abstract | This paper presents a new method for person-specific face shape estimation under varying head pose of a previously unseen person from a single image. We describe a featureless approach based on a deformable 3D model and a learned face subspace. The proposed approach is based on maximizing a likelihood measure associated with a learned face subspace, which is carried out by a stochastic and genetic optimizer. We conducted the experiments on a subset of Honda Video Database showing the feasibility and robustness of the proposed approach. For this reason, our approach could lend itself nicely to complex frameworks involving 3D face tracking and face gesture recognition in monocular videos. | ||||
| Address | Istanbul, Turkey | ||||
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| ISSN | 1051-4651 | ISBN | 978-1-4244-7542-1 | Medium | |
| Area | Expedition | Conference | ICPR | ||
| Notes | OR;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ DoR2010b | Serial | 1361 | ||
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| Author |
Fadi Dornaika; Bogdan Raducanu | ||||
| Title | Subtle Facial Expression Recognition in Still Images and Videos | Type | Book Chapter | ||
| Year | 2011 | Publication | Advances in Face Image Analysis: Techniques and Technologies | Abbreviated Journal | |
| Volume | Issue | 14 | Pages | 259-277 | |
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| Abstract | This chapter addresses the recognition of basic facial expressions. It has three main contributions. First, the authors introduce a view- and texture independent schemes that exploits facial action parameters estimated by an appearance-based 3D face tracker. they represent the learned facial actions associated with different facial expressions by time series. Two dynamic recognition schemes are proposed: (1) the first is based on conditional predictive models and on an analysis-synthesis scheme, and (2) the second is based on examples allowing straightforward use of machine learning approaches. Second, the authors propose an efficient recognition scheme based on the detection of keyframes in videos. Third, the authors compare the dynamic scheme with a static one based on analyzing individual snapshots and show that in general the former performs better than the latter. The authors then provide evaluations of performance using Linear Discriminant Analysis (LDA), Non parametric Discriminant Analysis (NDA), and Support Vector Machines (SVM). | ||||
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| Publisher | IGI-Global | Place of Publication | New York, USA | Editor | Yu-Jin Zhang |
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| ISSN | ISBN | 978-1-6152-0991-0 | Medium | ||
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| Notes | OR;MV | Approved | no | ||
| Call Number | Admin @ si @ DoR2011 | Serial | 1751 | ||
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| Author |
Fadi Dornaika; Bogdan Raducanu | ||||
| Title | Out-of-Sample Embedding for Manifold Learning Applied to Face Recognition | Type | Conference Article | ||
| Year | 2013 | Publication | IEEE International Workshop on Analysis and Modeling of Faces and Gestures | Abbreviated Journal | |
| Volume | Issue | Pages | 862-868 | ||
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| Abstract | Manifold learning techniques are affected by two critical aspects: (i) the design of the adjacency graphs, and (ii) the embedding of new test data---the out-of-sample problem. For the first aspect, the proposed schemes were heuristically driven. For the second aspect, the difficulty resides in finding an accurate mapping that transfers unseen data samples into an existing manifold. Past works addressing these two aspects were heavily parametric in the sense that the optimal performance is only reached for a suitable parameter choice that should be known in advance. In this paper, we demonstrate that sparse coding theory not only serves for automatic graph reconstruction as shown in recent works, but also represents an accurate alternative for out-of-sample embedding. Considering for a case study the Laplacian Eigenmaps, we applied our method to the face recognition problem. To evaluate the effectiveness of the proposed out-of-sample embedding, experiments are conducted using the k-nearest neighbor (KNN) and Kernel Support Vector Machines (KSVM) classifiers on four public face databases. The experimental results show that the proposed model is able to achieve high categorization effectiveness as well as high consistency with non-linear embeddings/manifolds obtained in batch modes. | ||||
| Address | Portland; USA; June 2013 | ||||
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| Area | Expedition | Conference | CVPRW | ||
| Notes | OR; 600.046;MV | Approved | no | ||
| Call Number | Admin @ si @ DoR2013 | Serial | 2236 | ||
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| Author |
Fadi Dornaika; Bogdan Raducanu | ||||
| Title | Analysis and Recognition of Facial Expressions in Videos Using Facial Shape Deformation | Type | Book Chapter | ||
| Year | 2012 | Publication | Facial Expressions: Dynamic Patterns, Impairments and Social Perceptions | Abbreviated Journal | |
| Volume | Issue | Pages | 157-178 | ||
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| Publisher | NOVA Publishers | Place of Publication | Editor | S.E. Carter | |
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| Notes | OR;MV | Approved | no | ||
| Call Number | Admin @ si @ DoR2012 | Serial | 2183 | ||
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