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Hand Posture Classification and Recognition using the Modified Census Transform

Related publications (166)

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Anti-spoofing: Evaluation Methodologies

Sébastien Marcel, André Anjos, Ivana Chingovska

Following the definition of the task of the anti-spoofing systems to discriminate between real accesses and spoofing attacks, anti-spoofing can be regarded as a binary classification problem. The spoofing databases and the evaluation methodologies for anti ...

Springer US2014

Tolerating permanent and transient value faults

André Schiper, Martin Hutle, Zarko Milosevic

Transmission faults allow us to reason about permanent and transient value faults in a uniform way. However, all existing solutions to consensus in this model are either in the synchronous system, or require strong conditions for termination, that exclude ...

Springer Verlag2014

LCAV-31: a dataset for light field object recognition

Martin Vetterli, Alireza Ghasemi, Nelly Julie Afonso

We present LCAV-31, a multi-view object recognition dataset designed specifically for benchmarking light field image analysis tasks. The principal distinctive factor of LCAV-31 compared to similar datasets is its design goals and availability of novel visu ...

International Society for Optics and Photonics2014

Dynamic Classifier Fusion for Multi-sensory Activity Recognition

Hesam Sagha

Nowadays, many systems rely on fusing different sources of information to recognize human activities and gestures, speech, or brain activities for applications in areas such as clinical practice, and health care and Human Computer Interaction (HCI). Typica ...

EPFL2013

Sparse Binary Features for Image Classification

Johann Paratte

In this work a new method for automatic image classification is proposed. It relies on a compact representation of images using sets of sparse binary features. This work first evaluates the Fast Retina Keypoint binary descriptor and proposes imp ...

2013

Anti-spoofing in action: joint operation with a verification system

Sébastien Marcel, André Anjos, Ivana Chingovska

Besides the recognition task, today's biometric systems need to cope with additional problem: spoofing attacks. Up to date, academic research considers spoofing as a binary classification problem: systems are trained to discriminate between real accesses a ...

2013

Anti-spoofing in action: joint operation with a verification system

Sébastien Marcel, André Anjos, Ivana Chingovska

Idiap2013

Keypoint Recognition using Random Forests and Random Ferns

Pascal Fua, Vincent Lepetit

In many 3-D object-detection and pose-estimation problems, run-time performance is of critical importance. However, there usually is time to train the system. We introduce an approach that takes advantage of this fact by formulating wide-baseline matching ...

Springer2013

VideoKheti: Making Video Content Accessible to Low-Literate and Novice Users

Sébastien Cuendet

Designing ICT systems for rural users in the developing world is difficult for a variety of reasons ranging from problems with infrastructure to financial constraints. But beyond these difficulties, there are serious challenges associated with the potentia ...

2013

Inferring social activities with mobile sensor networks

Daniel Gatica-Perez

While our daily activities usually involve interactions with others, the state-of-the-art methods on activity recognition do not exploit the relationship between social interactions and human activity. This paper addresses the problem of interpreting socia ...

2013