Blar i NTNU Open på forfatter "Pratikakis, Ioannis"
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Action unit detection in 3D facial videos with application in facial expression retrieval and recognition
Danelakis, Antonios; Theoharis, Theoharis; Pratikakis, Ioannis (Journal article; Peer reviewed, 2018)This work introduces a new scheme for action unit detection in 3D facial videos. Sets of features that define action unit activation in a robust manner are proposed. These features are computed based on eight detected ... -
Effective Descriptors for Human Action Retrieval from 3D Mesh Sequences
Veinidis, Christos; Danelakis, Antonios; Pratikakis, Ioannis; Theoharis, Theoharis (Journal article; Peer reviewed, 2019)Two novel methods for fully unsupervised human action retrieval using 3D mesh sequences are presented. The first achieves high accuracy but is suitable for sequences consisting of clean meshes, such as artificial sequences ... -
Ensemble of PANORAMA-based convolutional neural networks for 3D model classification and retrieval
Sfikas, Konstantinos; Pratikakis, Ioannis; Theoharis, Theoharis (Journal article; Peer reviewed, 2018)A novel method for the classification and retrieval of 3D models is proposed; it exploits the 2D panoramic view representation of 3D models as input to an ensemble of convolutional neural networks which automatically compute ... -
Spatially sensitive statistical shape analysis for pedestrian recognition from LIDAR data
Savelonas, Michalis; Pratikakis, Ioannis; Theoharis, Theoharis; Thanellas, G.; Abad, F.; Bendahan, R. (Journal article, 2018)Range-based pedestrian recognition is instrumental towards the development of autonomous driving and driving assistance systems. This work introduces encoding methods for pedestrian recognition, based on statistical shape ... -
Unsupervised human action retrieval using salient points in 3D mesh sequences
Veinidis, Christos; Pratikakis, Ioannis; Theoharis, Theoharis (Journal article, 2018)The problem of human action retrieval based on the representation of the human body as a 3D mesh is addressed. The proposed 3D mesh sequence descriptor is based on a set of trajectories of salient points of the human body: ...