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Joan Marc Llargues Asensio; Juan Peralta; Raul Arrabales; Manuel Gonzalez Bedia; Paulo Cortez; Antonio Lopez |
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Title |
Artificial Intelligence Approaches for the Generation and Assessment of Believable Human-Like Behaviour in Virtual Characters |
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Journal Article |
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2014 |
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Expert Systems With Applications |
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EXSY |
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41 |
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16 |
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7281–7290 |
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Turing test; Human-like behaviour; Believability; Non-player characters; Cognitive architectures; Genetic algorithm; Artificial neural networks |
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Having artificial agents to autonomously produce human-like behaviour is one of the most ambitious original goals of Artificial Intelligence (AI) and remains an open problem nowadays. The imitation game originally proposed by Turing constitute a very effective method to prove the indistinguishability of an artificial agent. The behaviour of an agent is said to be indistinguishable from that of a human when observers (the so-called judges in the Turing test) cannot tell apart humans and non-human agents. Different environments, testing protocols, scopes and problem domains can be established to develop limited versions or variants of the original Turing test. In this paper we use a specific version of the Turing test, based on the international BotPrize competition, built in a First-Person Shooter video game, where both human players and non-player characters interact in complex virtual environments. Based on our past experience both in the BotPrize competition and other robotics and computer game AI applications we have developed three new more advanced controllers for believable agents: two based on a combination of the CERA–CRANIUM and SOAR cognitive architectures and other based on ADANN, a system for the automatic evolution and adaptation of artificial neural networks. These two new agents have been put to the test jointly with CCBot3, the winner of BotPrize 2010 competition (Arrabales et al., 2012), and have showed a significant improvement in the humanness ratio. Additionally, we have confronted all these bots to both First-person believability assessment (BotPrize original judging protocol) and Third-person believability assessment, demonstrating that the active involvement of the judge has a great impact in the recognition of human-like behaviour. |
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ADAS; 600.055; 600.057; 600.076 |
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Admin @ si @ LPA2014 |
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2500 |
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Fernando Barrera; Felipe Lumbreras; Angel Sappa |
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Title |
Multispectral Piecewise Planar Stereo using Manhattan-World Assumption |
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Journal Article |
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2013 |
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Pattern Recognition Letters |
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PRL |
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34 |
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1 |
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52-61 |
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Multispectral stereo rig; Dense disparity maps from multispectral stereo; Color and infrared images |
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This paper proposes a new framework for extracting dense disparity maps from a multispectral stereo rig. The system is constructed with an infrared and a color camera. It is intended to explore novel multispectral stereo matching approaches that will allow further extraction of semantic information. The proposed framework consists of three stages. Firstly, an initial sparse disparity map is generated by using a cost function based on feature matching in a multiresolution scheme. Then, by looking at the color image, a set of planar hypotheses is defined to describe the surfaces on the scene. Finally, the previous stages are combined by reformulating the disparity computation as a global minimization problem. The paper has two main contributions. The first contribution combines mutual information with a shape descriptor based on gradient in a multiresolution scheme. The second contribution, which is based on the Manhattan-world assumption, extracts a dense disparity representation using the graph cut algorithm. Experimental results in outdoor scenarios are provided showing the validity of the proposed framework. |
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ADAS; 600.054; 600.055; 605.203 |
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Admin @ si @ BLS2013 |
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2245 |
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Felipe Lumbreras; Joan Serrat |
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Segmentation of petrographical images of marbles |
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1996 |
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Computers and Geosciences. 22(5):547–558 |
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ADAS @ adas @ LuS1996b |
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82 |
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J. Pladellorens; Joan Serrat; A. Castell; M.J. Yzuel |
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Using mathematical morphology to determine left ventricular contours. |
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1993 |
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Physics in Medicine and Biology. |
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37 |
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1877––1894 |
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ADAS @ adas @ PSC1993 |
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146 |
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J. Pladellorens; M.J. Yzuel; J. Castell; Joan Serrat |
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Title |
Calculo automatico del volumen del ventriculo izquierdo. Comparacion con expertos. |
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1993 |
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Optica Pura y Aplicada. |
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26 |
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3 |
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685–691 |
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ADAS @ adas @ PYC1993 |
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149 |
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Author |
A.F. Sole; S. Ngan; G. Sapiro; X. Hu; Antonio Lopez |
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Title |
Anisotropic 2-D and 3-D Averaging of fMRI Signals |
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2001 |
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IEEE Transactions on Medical Imaging, 20(2): 86–93 (IF: 3.142) |
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ADAS @ adas @ SNS2001 |
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165 |
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A.F. Sole; Antonio Lopez; G. Sapiro |
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Title |
Crease Enhancement Diffusion |
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2001 |
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Computer Vision and Image Understanding, 84(2): 241–248 (IF: 1.298) |
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New York; USA |
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ADAS @ adas @ SLS2001 |
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485 |
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A. Restrepo; Angel Sappa; M. Devy |
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Edge registration versus triangular mesh registration, a comparative study |
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2005 |
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Signal Processing: Image Communication 20: 853–868 (IF: 1.264) |
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ADAS @ adas @ RSD2005 |
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567 |
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Author |
Angel Sappa |
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Title |
Unsupervised Contour Closure Algorithm for Range Image Edge-Based Segmentation |
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2006 |
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IEEE Transactions on Image Processing, 15(2):377–384 |
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ADAS |
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ADAS @ adas @ Sap2006a |
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637 |
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Author |
Angel Sappa; David Geronimo; Fadi Dornaika; Antonio Lopez |
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Title |
On-board camera extrinsic parameter estimation |
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2006 |
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Electronics Letters |
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EL |
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42 |
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13 |
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745–746 |
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An efficient technique for real-time estimation of camera extrinsic parameters is presented. It is intended to be used on on-board vision systems for driving assistance applications. The proposed technique is based on the use of a commercial stereo vision system that does not need any visual feature extraction. |
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IEE |
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ADAS @ adas @ SGD2006a |
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655 |
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