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Joost Van de Weijer; Shida Beigpour |
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Title |
The Dichromatic Reflection Model: Future Research Directions and Applications |
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2011 |
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International Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications |
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dblp |
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The dichromatic reflection model (DRM) predicts that color distributions form a parallelogram in color space, whose shape is defined by the body reflectance and the illuminant color. In this paper we resume the assumptions which led to the DRM and shortly recall two of its main applications domains: color image segmentation and photometric invariant feature computation. After having introduced the model we discuss several limitations of the theory, especially those which are raised once working on real-world uncalibrated images. In addition, we summerize recent extensions of the model which allow to handle more complicated light interactions. Finally, we suggest some future research directions which would further extend its applicability. |
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Algarve, Portugal |
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SciTePress |
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Mestetskiy, Leonid and Braz, José |
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978-989-8425-47-8 |
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VISIGRAPP |
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CIC |
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Admin @ si @ WeB2011 |
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1778 |
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Author |
Joost Van de Weijer; Theo Gevers; A. Gijsenij |
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Edge-Based Color Constancy |
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2007 |
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IEEE Trans. on Image Processing, vol. 16(9):2207–2214 |
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CAT @ cat @ WGG2007 |
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949 |
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Jordi Esquirol; Cristina Palmero; Vanessa Bayo; Miquel Angel Cos; Sergio Escalera; David Sanchez; Maider Sanchez; Noelia Serrano; Mireia Relats |
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Title |
Automatic RBG-depth-pressure anthropometric analysis and individualised sleep solution prescription |
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2017 |
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Journal of Medical Engineering & Technology |
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JMET |
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41 |
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6 |
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486-497 |
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INTRODUCTION:
Sleep surfaces must adapt to individual somatotypic features to maintain a comfortable, convenient and healthy sleep, preventing diseases and injuries. Individually determining the most adequate rest surface can often be a complex and subjective question.
OBJECTIVES:
To design and validate an automatic multimodal somatotype determination model to automatically recommend an individually designed mattress-topper-pillow combination.
METHODS:
Design and validation of an automated prescription model for an individualised sleep system is performed through a single-image 2 D-3 D analysis and body pressure distribution, to objectively determine optimal individual sleep surfaces combining five different mattress densities, three different toppers and three cervical pillows.
RESULTS:
A final study (n = 151) and re-analysis (n = 117) defined and validated the model, showing high correlations between calculated and real data (>85% in height and body circumferences, 89.9% in weight, 80.4% in body mass index and more than 70% in morphotype categorisation).
CONCLUSIONS:
Somatotype determination model can accurately prescribe an individualised sleep solution. This can be useful for healthy people and for health centres that need to adapt sleep surfaces to people with special needs. Next steps will increase model's accuracy and analise, if this prescribed individualised sleep solution can improve sleep quantity and quality; additionally, future studies will adapt the model to mattresses with technological improvements, tailor-made production and will define interfaces for people with special needs. |
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HUPBA; no menciona |
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Admin @ si @ EPB2017 |
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3010 |
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Author |
Jordi Gonzalez |
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Action recognition in application domains |
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1999 |
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CVC Technical Report #13 |
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CVC (UAB) |
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ISE @ ise @ Gon1999 |
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357 |
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Author |
Jordi Gonzalez |
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Title |
Human Sequence Evaluation: the Key-frame Approach |
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2004 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Ph.D. thesis |
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Xavier Roca;Javier Varona |
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ISE @ ise @ Gon2004 |
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362 |
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Author |
Jordi Gonzalez; Dani Rowe; Javier Varona; Xavier Roca |
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Title |
Understanding Dynamic Scenes based on Human Sequence Evaluation |
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Journal Article |
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2009 |
Publication |
Image and Vision Computing |
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IMAVIS |
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27 |
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10 |
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1433–1444 |
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Image Sequence Evaluation; High-level processing of monitored scenes; Segmentation and tracking in complex scenes; Event recognition in dynamic scenes; Human motion understanding; Human behaviour interpretation; Natural-language text generation; Realistic demonstrators |
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In this paper, a Cognitive Vision System (CVS) is presented, which explains the human behaviour of monitored scenes using natural-language texts. This cognitive analysis of human movements recorded in image sequences is here referred to as Human Sequence Evaluation (HSE) which defines a set of transformation modules involved in the automatic generation of semantic descriptions from pixel values. In essence, the trajectories of human agents are obtained to generate textual interpretations of their motion, and also to infer the conceptual relationships of each agent w.r.t. its environment. For this purpose, a human behaviour model based on Situation Graph Trees (SGTs) is considered, which permits both bottom-up (hypothesis generation) and top-down (hypothesis refinement) analysis of dynamic scenes. The resulting system prototype interprets different kinds of behaviour and reports textual descriptions in multiple languages. |
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ISE @ ise @ GRV2009 |
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1211 |
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Author |
Jordi Gonzalez; Dani Rowe; Juan Andrade; Juan J. Villanueva |
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Title |
Efficient Management of Multiple Agent Tracking Through Observation Handling |
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2006 |
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6th IASTED International Conference on Visualization, Imaging and Image Processing (VIIP´06) |
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Palma de Mallorca (Spain) |
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ISE @ ise @ GRA2006 |
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662 |
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Jordi Gonzalez; Javier Varona; Juan J. Villanueva; Xavier Roca |
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On-line Human Activity Recognition for Video Surveillance. |
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2001 |
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Proceedings of the IX Spanish Symposium on Pattern Recognition and Image Analysis, 2:255–260. |
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ISE @ ise @ GVV2001 |
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111 |
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Jordi Gonzalez; Javier Varona; Xavier Roca; Juan J. Villanueva |
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Human Activity Learning and Recognition from Appearance. |
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2001 |
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World Multiconference on Systemics, Cybernetics and Informatics SCI 2001, XIII:463–466 |
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ISE @ ise @ GVR2001 |
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Jordi Gonzalez; Javier Varona; Xavier Roca; Juan J. Villanueva |
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Automatic Keyframing of Human Actions for Computer Animation |
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2003 |
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ISE @ ise @ GVR2003a |
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359 |
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Jordi Gonzalez; Javier Varona; Xavier Roca; Juan J. Villanueva |
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A Human Action Comparison Framework for Motion Understanding |
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2003 |
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Palma de Mallorca, Spain |
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ISE @ ise @ GVR2003e |
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361 |
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Jordi Gonzalez; Javier Varona; Xavier Roca; Juan J. Villanueva |
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Automatic Keyframing of Human Actions for Computer Animation |
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2003 |
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In Pattern Recognition and Image Analysis, Lecture Notes in Computer Science 2652:287–296 |
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ISE @ ise @ GVR2003b |
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381 |
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Jordi Gonzalez; Javier Varona; Xavier Roca; Juan J. Villanueva |
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A Human Action Comparison Framework for Motion Understanding |
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2003 |
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Frontiers in Artificial Intelligence and Applications 100, 331–340 |
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ISE @ ise @ GVR2003c |
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Jordi Gonzalez; Javier Varona; Xavier Roca; Juan J. Villanueva |
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Human Sequence Evaluation: towards Knowledge-based Scene Interpretations |
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2003 |
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Frontiers in Artificial Intelligence and Applications 100, 168–177 |
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ISE @ ise @ GVR2003d |
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390 |
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Jordi Gonzalez; Javier Varona; Xavier Roca; Juan J. Villanueva |
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Analysis of Human Walking Based on aSpaces |
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2004 |
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Articulated Motion and Deformable Objects, Third International Workshop, (AMDO 2004), Lecture Notes in Computer Science, F.J. Perales, B.A. Draper (Eds.), 3179:177–188 |
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ISE @ ise @ GVR2004a |
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