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Face identification is an important research topic due to areas such as its application in surveillance, forensics and human–computer interaction. In the past few years, a myriad of methods for face identification has been proposed in the literature, with just a few among them focusing on scalability. In this work, we propose a simple but efficient approach for scalable face identification based on...
Face recognition has been largely studied in past years. However, most of the related work focus on increasing accuracy and/or speed to test a single pair probe-subject. In this work, we present a novel method inspired by the success of locality sensing hashing (LSH) applied to large general purpose datasets and by the robustness provided by partial least squares (PLS) analysis when applied to large...
In this paper we present a panoramic video viewer for the web. We propose Pan View, an open-source video-based panoramic viewer that provides a greater immersion of filmed environments. The main advantage of considering panoramic video is that users can pan or tilt virtual cameras in the recorded scene, allowing them to focus on information presented in different angles or moments, thus, allowing...
Computer Vision problems applied to visual surveillance have been studied for several years aiming at finding accurate and efficient solutions, required to allow the execution of surveillance systems in real environments. The main goal of such systems is to analyze the scene focusing on the detection and recognition of suspicious activities performed by humans in the scene, so that the security personnel...
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