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 Stefano Berretti

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Average citations per article6.43
Citation Count386
Publication count60
Publication years1997-2016
Available for download6
Average downloads per article396.33
Downloads (cumulative)2,378
Downloads (12 Months)93
Downloads (6 Weeks)7
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60 results found Export Results: bibtexendnoteacmrefcsv

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1
December 2016 IEEE Transactions on Information Forensics and Security: Volume 11 Issue 12, December 2016
Publisher: IEEE Press
Bibliometrics:
Citation Count: 1

Performing face recognition across 3D scans with different resolution is now attracting an increasing interest thanks to the introduction of a new generation of depth cameras, capable of acquiring color/depth images over time. In fact, these devices acquire and provide depth data with much lower resolution compared with the 3D ...

2
September 2016 Pattern Recognition: Volume 57 Issue C, September 2016
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 0

In this paper, we investigate the contribution of dynamic evolution of 3D faces to identity recognition. To this end, we adopt a subspace representation of the flow of curvature-maps computed on 3D facial frames of a sequence, after normalizing their pose. Such representation allows us to embody the shape as ...
Keywords: Dictionary learning, Grassmann manifold, Sparse coding, Curvature-maps, 4D face recognition

3
May 2016 IEEE Transactions on Information Forensics and Security: Volume 11 Issue 5, May 2016
Publisher: IEEE Press
Bibliometrics:
Citation Count: 1

In this paper, we present a novel approach for fusing shape and texture local binary patterns (LBPs) on a mesh for 3D face recognition. Using a recently proposed framework, we compute LBP directly on the face mesh surface, then we construct a grid of the regions on the facial surface ...

4
October 2015 3DV '15: Proceedings of the 2015 International Conference on 3D Vision
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

In this paper, we propose a new approach for constructing a 3D morph able model (3DMM) and experiment its application to face recognition. Differently from existing solutions, the proposed 3DMM is constructed from a training set that includes a large spectrum of variability in terms of ethnicity and facial expressions. ...
Keywords: Dense 3D alignment, 3D morphable model, dictionary learning, face recognition

5
October 2015 Computer Vision and Image Understanding: Volume 139 Issue C, October 2015
Publisher: Elsevier Science Inc.
Bibliometrics:
Citation Count: 1

A novel framework for computing local binary patterns on triangular mesh manifolds.Mesh-LBP evidences uniformity and repeatability aspects.Mesh-LBP descriptors can cope with mesh irregularities and global deformations.Mesh-LBP can be deployed in both local and global shape analysis.Experiments on 3D texture classification, retrieval and 3D face recognition. In this paper, we introduce ...
Keywords: 3D texture classification, 3D face matching, 3D local binary patterns, Mesh manifold, 3D texture retrieval, Ordered ring facets

6
August 2015
Bibliometrics:
Citation Count: 0

This book contains a selection of refereed and revised papers from three special tracks: Ad-hoc and Wireless Sensor Networks, Intelligent Distributed Computing and, Business Intelligence and Big Data Analytics originally presented at the International Symposium on Intelligent Systems Technologies and Applications (ISTA), August 10-13, 2015, Kochi, India.

7
May 2015 3DOR: Proceedings of the 2015 Eurographics Workshop on 3D Object Retrieval
Publisher: Eurographics Association
Bibliometrics:
Citation Count: 0

In this paper, we present and experiment a novel approach for retrieving 3D geometric texture patterns on 2D mesh-manifolds (i.e., surfaces in the 3D space) using local binary patterns (LBP) constructed on the mesh. The method is based on the recently proposed mesh-LBP framework [WBD15]. Compared to its depth-image counterpart, ...

8
November 2014 The Visual Computer: International Journal of Computer Graphics: Volume 30 Issue 11, November 2014
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 6

3D face identification based on the detection and comparison of keypoints of the face is a promising solution to extend face recognition approaches to the case of 3D scans with occlusions and missing parts. In fact, approaches that perform sparse keypoints matching can naturally allow for partial face comparison. However, ...
Keywords: Feature selection, 3D Keypoints detection, 3D face recognition, Stable scale space selection

9
September 2014 IEEE Transactions on Information Forensics and Security: Volume 9 Issue 9, September 2014
Publisher: IEEE Press
Bibliometrics:
Citation Count: 2

Face recognition based on the analysis of 3D scans has been an active research subject over the last few years. However, the impact of the resolution of 3D scans on the recognition process has not been addressed explicitly, yet being an element of primal importance to enable the use of ...

10
August 2014 ICPR '14: Proceedings of the 2014 22nd International Conference on Pattern Recognition
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

In this paper, we present a novel and original framework for computing Local Binary Pattern (LBP)-like patterns on a triangular mesh manifold. This framework, that we called mesh-LBP, can be adapted to all the LBP variants employed in 2D image analysis. As such, it allows extending the related techniques to ...

11
December 2013 ICCVW '13: Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

In this paper, we present a novel and original framework for computing Local Binary Pattern (LBP)-like patterns on a triangular mesh manifold. This framework, dubbed mesh-LBP can be adapted to all the LBP variants employed in 2D image analysis. As such, it allows extending the related techniques to mesh surfaces. ...

12
December 2013 The Visual Computer: International Journal of Computer Graphics: Volume 29 Issue 12, December 2013
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 6

In this paper, we present a fully-automatic and real-time approach for person-independent recognition of facial expressions from dynamic sequences of 3D face scans. In the proposed solution, first a set of 3D facial landmarks are automatically detected, then the local characteristics of the face in the neighborhoods of the facial ...
Keywords: 3D dynamic sequences, Hidden Markov model, 3D facial expression recognition, Local descriptor

13
October 2013 Proceedings of 4th International Workshop on Human Behavior Understanding - Volume 8212
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 1

In this paper, we present a fully automatic approach for identity-independent facial expression recognition from 3D video sequences. Towards this goal, we propose a novel approach to extract a dense scalar field that represents the deformations between faces conveying different expressions. We extract relevant features from this deformation field using ...

14
September 2013 Proceedings of the ICIAP 2013 International Workshops on New Trends in Image Analysis and Processing — ICIAP 2013 - Volume 8158
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 10

3D human action recognition is an important current challenge at the heart of many research areas lying to the modeling of the spatio-temporal information. In this paper, we propose representing human actions using spatio-temporal motion trajectories. In the proposed approach, each trajectory consists of one motion channel corresponding to the ...
Keywords: temporal modeling, 3D human action, activity recognition

15
September 2013 Proceedings of the ICIAP 2013 International Workshops on New Trends in Image Analysis and Processing — ICIAP 2013 - Volume 8158
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 0

In this work, we propose an efficient and effective method to recognize human actions based on the estimated 3D positions of skeletal joints in temporal sequences of depth maps. First, the body skeleton is decomposed in a set of kinematic chains, and the position of each joint is expressed in ...
Keywords: action recognition, depth camera, nearest-neighbor classification

16
August 2013 Computers and Graphics: Volume 37 Issue 5, August, 2013
Publisher: Pergamon Press, Inc.
Bibliometrics:
Citation Count: 15

In this work, we propose and experiment an original solution to 3D face recognition that supports face matching also in the case of probe scans with missing parts. In the proposed approach, distinguishing traits of the face are captured by first extracting 3D keypoints of the scan and then measuring ...
Keywords: 3D face recognition, 3D keypoints, 3D local descriptors

17
June 2013 CVPRW '13: Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 10

Recently released depth cameras provide effective estimation of 3D positions of skeletal joints in temporal sequences of depth maps. In this work, we propose an efficient yet effective method to recognize human actions based on the positions of joints. First, the body skeleton is decomposed in a set of kinematic ...
Keywords: action recognition, RGB-D, depth cameras

18
May 2013 3DOR '13: Proceedings of the Sixth Eurographics Workshop on 3D Object Retrieval
Publisher: Eurographics Association
Bibliometrics:
Citation Count: 1

In this work, an original solution to 3D face identification is proposed, which supports recognition also in the case of probes with missing parts. Distinguishing traits of the face are captured by first extracting 3D keypoints of a face scan, then measuring how the face surface changes in the keypoints ...

19
February 2013 IEEE Transactions on Information Forensics and Security: Volume 8 Issue 2, February 2013
Publisher: IEEE Press
Bibliometrics:
Citation Count: 6

In this work, we propose and experiment a 3-D face recognition approach capable of performing accurate face matching also in the case where just parts of probe scans are available. This is obtained through an original face representation and matching solution that first extracts keypoints of the 3-D depth image ...

20
October 2012 ECCV'12: Proceedings of the 12th international conference on Computer Vision - Volume Part I
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 7

Face recognition based on the analysis of 3D scans has been an active research subject over the last few years. However, the impact of the resolution of 3D scans on the recognition process has not been addressed explicitly yet being of primal importance after the introduction of a new generation ...



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