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[PDF] Top 20 Feature-Based Facial Expression Recognition: Experiments With a Multi-Layer Perceptron

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Feature-Based Facial Expression Recognition: Experiments With a Multi-Layer Perceptron

Feature-Based Facial Expression Recognition: Experiments With a Multi-Layer Perceptron

... We investigate the use of two types of features extracted from face images: the geometric positions of a set of fiducial points on a face, and a set of multi-scale and multi-orientation [r] ... Voir le document complet

10

Expression Recognition with Deep Features Extracted from Holistic and Part-based Models

Expression Recognition with Deep Features Extracted from Holistic and Part-based Models

... the experiments, the results suggest that (a) holistic models outperform part-based models and hence per- tinent information is lost when only facial parts are being an- ...low-level ... Voir le document complet

13

3D facial expression recognition using SIFT descriptors of automatically detected keypoints

3D facial expression recognition using SIFT descriptors of automatically detected keypoints

... (ii) a local based de- scription of the face that computes SIFT features on a set of sample points of the face derived starting from the 9 key- points; (iii) a feature selection ... Voir le document complet

17

3D Dynamic Expression Recognition Based on a Novel Deformation Vector Field and Random Forest

3D Dynamic Expression Recognition Based on a Novel Deformation Vector Field and Random Forest

... 4 Experiments and Discussions To demonstrate the effectiveness of the proposed ap- proach, we perform expression recognition from 3D face sequences following the experimental setting de- scribed in ... Voir le document complet

5

Facial Action Recognition Combining Heterogeneous Features via Multi-Kernel Learning

Facial Action Recognition Combining Heterogeneous Features via Multi-Kernel Learning

... SVM with RBF kernel, 5a used LGBP histogram and SVM with histogram intersection ...by a slight superiority of Gabor encoding (also reported in [19]) over LBP and, last but not least, a kernel ... Voir le document complet

15

Fine-grained facial landmark detection exploiting intermediate feature representations

Fine-grained facial landmark detection exploiting intermediate feature representations

... ResNet with our Fine-grained Facial Landmark Detection (ResNet18/50-FFLD) framework and other ...version with only 25% channels compared to the original ...Fine-grained Facial Landmark ... Voir le document complet

18

Characterizing the State of Apathy with Facial Expression and Motion Analysis

Characterizing the State of Apathy with Facial Expression and Motion Analysis

... The expression durations (t pos , t neg , t neut ) are appended to the expression representation, resulting in a 3 × (b + 1) dimensional feature ...both expression intensity ... Voir le document complet

9

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en fr Event-Based Feature Detection, Recognition and Classification Techniques de Détection, de Reconnaissance et de Classification de primitives "Event-Based"

... having a large number of empty channels, but has the advantage of not discarding any ...within a larger frame of (223 × 173) pixels, requiring SKIM to have 38, 579 input ...hidden layer neurons, and ... Voir le document complet

223

Dynamic Facial Expression Generation on Hilbert Hypersphere with Conditional Wasserstein Generative Adversarial Nets

Dynamic Facial Expression Generation on Hilbert Hypersphere with Conditional Wasserstein Generative Adversarial Nets

... dynamic facial expression ...of facial expressions. Indeed, generating the motion as a sequence of separate feature vectors with GRNN, results in motion artifacts and discrete ... Voir le document complet

22

Efficient image recognition using local feature and fuzzy triangular number based similarity measures

Efficient image recognition using local feature and fuzzy triangular number based similarity measures

... content based image retrieval and object recognition have received considerable attention and been successfully applied in a wide variety of areas such as computer vision and pattern ...object ... Voir le document complet

11

A Novel Security Architecture Based on Multi-level Rule Expression Language

A Novel Security Architecture Based on Multi-level Rule Expression Language

... describe a decision support for IDS system that uses multi-level parameter ...in a Genetic classifier-based ...from a general knowledge ...propose multi-layered detection system. ... Voir le document complet

11

Online Japanese Character Recognition Using Trajectory-Based Normalization and Direction Feature Extraction

Online Japanese Character Recognition Using Trajectory-Based Normalization and Direction Feature Extraction

... of a line segment ...direction based on normalized coordinates (normalized direction) is conventionally ...cooperated feature extraction (NCFE) [6], in which the local direction in original pattern ... Voir le document complet

7

RELEVANT FEATURE SELECTION FOR HOME APPLIANCES RECOGNITION

RELEVANT FEATURE SELECTION FOR HOME APPLIANCES RECOGNITION

... appliances recognition, using electrical cur- rent and voltage signals of a covering broad array of different types of home ...in a preprocessing step are detailed since the number of extracted ... Voir le document complet

7

Early Recognition of Handwritten Gestures based on Multi-classifier Reject Option

Early Recognition of Handwritten Gestures based on Multi-classifier Reject Option

... early recognition for facial expression. A traditional boosting technique is applied to select a set of weak ...Then a weight propagation is adopted to temporally combine the ... Voir le document complet

7

Feature-based map merging with dynamic consensus on information increments

Feature-based map merging with dynamic consensus on information increments

... weighted with a forgetting factor, as the current global map was com- puted by the ...in a coordinated way; and in second place, the method was designed for graphs which remained fixed during ... Voir le document complet

16

Three-dimensional face recognition using elastic deformations of facial surfaces

Three-dimensional face recognition using elastic deformations of facial surfaces

... represent facial surfaces by certain geometrical features sets, such as the convex parts, areas with high curvatures, saddle points, etc ...is a procedure which iter- atively minimizes the distance ... Voir le document complet

5

Acume: A New Visualization Tool for Understanding Facial Expression and Gesture Data

Acume: A New Visualization Tool for Understanding Facial Expression and Gesture Data

... A. DATA This section describes two ecologically valid datasets used in the case studies. The first dataset consists of manually coded facial action unit data collected by Karim Kas- sam [20]. He obtained ... Voir le document complet

7

Emotion facial recognition by the means of automatic video analysis

Emotion facial recognition by the means of automatic video analysis

... is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or ... Voir le document complet

2

Fully Automatic 3D Facial Expression Recognition using Differential Mean Curvature Maps and Histograms of Oriented Gradients

Fully Automatic 3D Facial Expression Recognition using Differential Mean Curvature Maps and Histograms of Oriented Gradients

... 3D facial scans of 100 persons (56 female and 44 male subjects), acquired in constraint conditions (no visible clothes nor glasses nor hair, frontal ...each expression correspond to 4 increasing degrees of ... Voir le document complet

8

Facial expression and phonetic recalibration in speech perception

Facial expression and phonetic recalibration in speech perception

... 1 Aix-Marseille Univ, CNRS, LPL, Aix-en-Provence, France 2 Stanford University, CA, USA This research has received funding from Excellence Initiative of Aix-Marseille University – A*MIDEX, a French ... Voir le document complet

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