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Margin Emphasized Metric Learning and Its Application to Gabor Feature Based Face Recognition
face verification metric learning margin Gabor Labeled Faces in Wild
2013/7/24
In addressing side information based face recognition scenario, a new Margin Emphasized Metric Learning (MEML) method is proposed. As an improvement of previous metric learning, MEML defines a new obj...
Context Constrained Facial Landmark Localization Based on Discontinuous Haar-like Feature
facial landmark localization context constraints discontinuous Haar-like feature
2013/7/24
Facial landmark localization is well known as one of the bottlenecks in face recognition. This paper proposes a novel facial landmark localization method, which introduces facial context constrains in...
Recognizing realistic action using contextual feature gr oup
Action recognition Spatial-temporal local feature Local feature group Discriminate group distance Mahalanobis distance
2013/7/24
Although the spatial-temporal local features and the bag of visual words model (BoW) have achieved a great success and a wide adoption in action classification, there still remain some problems. Fir...
Affective Video Classification Based on Spatio-Temporal Feature Fusion
video clssification facial expression recognition spatio-temporal feature fusion hidden dynamic conditional random fields
2013/7/24
In this paper, we propose a novel affective video classification method based on facial expression recognition by learning the spatio-temporal feature fusion of actors’ and viewers’ facial expressions...
Efficient lp-Norm Multiple Feature Metric Learning for Image Categorization
Algorithms Performance Experimentation
2013/7/24
Previous metric learning approaches are only able to learn the metric based on single concatenated multivariate feature representation. However, for many real world problems with multiple feature repr...
Contour-motion feature (CMF): A space–time approach for robust pedestrian detection
Contour-motion feature Space–time analysis Pedestrian detection Human activity analysis Event analysis 3D Haar fi lter
2013/7/16
This paper presents a contour-motion feature for robust pedestrian detection. The space–time contours are used as the low level representation of the pedestrian. Then we apply 3D distance transform to...
Effective Scene Matching with Local Feature Representatives
Effective Scene Matching Local Feature Representatives
2010/12/17
Scene matching measures the similarity of scenes in photos and is of central importance in applications where we have to properly organize large amount of digital photos by scene categories. In this p...
Contour-motion feature (CMF): A space–time approach for robust pedestrian detection
Contour-motion feature A space–time approach robust pedestrian detection
2010/12/20
This paper presents a contour-motion feature for robust pedestrian detection. The space–time contours are used as the low level representation of the pedestrian. Then we apply 3D distance transform to...
Visual Context Representation Using a Combination of Feature-driven and Object-driven Mechanisms
Visual Context Representation Feature-driven Object-driven Mechanisms
2010/12/20
Visual Context Representation Using a Combination of Feature-driven and Object-driven Mechanisms.
Effective Scene Matching with Local Feature Representatives
Effective Scene Matching Local Feature Representatives
2013/7/17
Scene matching measures the similarity of scenes in photos and is of central importance in applications where we have to properly organize large amount of digital photos by scene categories. In this p...
A Robust Feature Extraction Algorithm for Audio Fingerprinting
Audio fingerprinting weighted ASF Audio Spectrum Flatness filter bank inverse filter
2013/7/17
In this paper, we present a new feature extraction algorithm which can generate robust and reliable feature in a fingerprint system. This algorithm is referred to as weighted ASF (WASF). The feature...
Visual Context Representation Using a Combination of Feature-driven and Object-driven Mechanisms
Visual Context Representation Using a Combination Feature-driven Object-driven Mechanisms
2013/7/17
Visual Context Representation Using a Combination of Feature-driven and Object-driven Mechanisms。
Locally Assembled Binary (LAB) Feature with Feature-centric Cascade for Fast and Accurate Face Detection
Locally Assembled Binary (LAB) Feature with Feature-centric Cascade Fast and Accurate Face Detection
2013/7/17
In this paper, we describe a novel type of feature for fast and accurate face detection. The feature is called Locally Assembled Binary (LAB) Haar feature. LAB feature is basically inspired by the suc...
DRM: dynamic region matching for image retrieval using probabilistic fuzzy matching and boosting feature selection
Image retrieval Region matching Relevance feedback AdaBoost Long-term learning
2013/7/17
This paper considers the semantic gap in content-based image retrieval from two aspects: (1) irrelevant visual contents (e.g. background) scatter the mapping from image to human perception; (2) unsupe...
Novel Face Detection Method Based on Gabor Feature
Novel Face Detection Method Gabor Feature
2010/12/15
Gabor-based Face representation has achieved great success in face recognition, while whether and how it can be applied to face detection is rarely studied. This paper originally investigates the Gabo...