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Camera calibration is essential for accurate computer vision, and automatic calibration of some extrinsic parameters is needed in case the camera is placed on a mobile platform. The pitch and yaw angles, which are the most likely ones to change as the vehicle moves, can be inferred from the image coordinates of the vanishing point (VP). In this paper we present an artificial neural network approach...
Automatic recognition of human demographical attributes has implications in a variety of domains, such as surveillance systems, human computer interaction, marketing etc. In this paper, we present an automatic gender recognition method from facial images based on convolutional neural networks. In order to train the network, we merged together several face databases and also gathered and annotated...
This work presents an original real time, robust micro-expression detection algorithm. The algorithm analyses the movement modifications that occur around the most prominent facial regions using two absolute frame differences. Next, a machine learning algorithm is used to predict if a micro-expression occurred at a given frame t. Two classifiers were evaluated: decision tree and random forest classifier...
The eyes are the most preeminent features of the human face and the ability to accurate the eye landmarks is crucial to a variety of application domains. In this paper, we present a probabilistic method to detect the eye shape in periocular images based on particle filters. The proposed method does not need any prior information about the position of the iris and there is no need for initialization...
The necessity of balancing the obtained performance with the energy consumed is an emerging ambition for cloud computing research. Performance in cloud computing is defined through Service Level Agreement contracts between the cloud provider and cloud customer, being a projection of the customer's perspective on the service offered by the cloud provider. Although more and more research efforts go...
This paper proposes a genetic inspired algorithm for negotiating the tradeoffs between the workload Quality of Service requests and the service center computing resources energy consumption with the goal of allocating the service center computing resources in an energy efficient manner. The bilateral negotiation algorithm has two main parties: the workload task's Quality of Service request, as a client,...
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