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Author |
Sergio Escalera; Oriol Pujol; Eric Laciar; Jordi Vitria; Esther Pueyo; Petia Radeva |
![download PDF file pdf](img/file_PDF.gif)
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Classification of Coronary Damage in Chronic Chagasic Patients |
Type |
Book Chapter |
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Year |
2010 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
Intelligent Systems – From Theory to Practice. Studies in Computational Intelligence |
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Volume |
299 |
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Pages |
461-478 |
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Chagas disease; Error-Correcting Output Codes; High resolution ECG; Decoding |
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Abstract |
Post Conference IEEE-IS 2008
The Chagas’ disease is endemic in all Latin America, affecting millions of people in the continent. In order to diagnose and treat the chagas’ disease, it is important to detect and measure the coronary damage of the patient. In this paper,
we analyze and categorize patients into different groups based on the coronary damage produced by the disease. Based on the features of the heart cycle extracted using high resolution ECG, a multi-class scheme of Error-Correcting Output Codes (ECOC)is formulated and successfully applied. The results show that the proposed scheme obtains significant performance improvements compared to previous works and state-of-the-art ECOC designs. |
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Springer-Verlag |
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V. Sgurev, M. Hadjiski (eds) |
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OR;MILAB;HUPBA;MV |
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BCNPCL @ bcnpcl @ EPL2010 |
Serial |
1452 |
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Author |
Josep Llados;Horst Bunke; Enric Marti |
![goto web page url](img/www.gif)
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Using Cyclic String Matching to Find Rotational and Reflectional Symmetries in Shapes |
Type |
Conference Article |
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Year |
1997 |
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Intelligent Robots: Sensing, Modeling and Planning |
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164-179 |
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Dagstuhl Workshop |
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World Scientific Press |
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9810231857 |
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DAG;IAM; |
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IAM @ iam @ LBM1997b |
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1563 |
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Author |
A. Martinez; Jordi Vitria; J. Lopez |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Visual Recognition of Surroundings: A robot that knows where it is. |
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Miscellaneous |
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Year |
1997 |
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Intelligence Artificielle et Complexite. |
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Paris. |
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OR;MV |
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BCNPCL @ bcnpcl @ MVL1997 |
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59 |
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Author |
Gemma Sanchez; Josep Llados; Enric Marti |
![goto web page url](img/www.gif)
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Title |
Segmentation and analysis of linial texture in plans |
Type |
Conference Article |
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Year |
1997 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
Intelligence Artificielle et Complexité. |
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Structural Texture, Voronoi, Hierarchical Clustering, String Matching. |
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Abstract |
The problem of texture segmentation and interpretation is one of the main concerns in the field of document analysis. Graphical documents often contain areas characterized by a structural texture whose recognition allows both the document understanding, and its storage in a more compact way. In this work, we focus on structural linial textures of regular repetition contained in plan documents. Starting from an atributed graph which represents the vectorized input image, we develop a method to segment textured areas and recognize their placement rules. We wish to emphasize that the searched textures do not follow a predefined pattern. Minimal closed loops of the input graph are computed, and then hierarchically clustered. In this hierarchical clustering, a distance function between two closed loops is defined in terms of their areas difference and boundary resemblance computed by a string matching procedure. Finally it is noted that, when the texture consists of isolated primitive elements, the same method can be used after computing a Voronoi Tesselation of the input graph. |
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Paris, France |
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Paris |
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AERFAI |
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DAG;IAM; |
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IAM @ iam @ SLM1997 |
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1649 |
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Author |
Fadi Dornaika; Angel Sappa |
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Title |
Real-time Vehicle Ego-Motion using Stereo Pairs and Particle Filters |
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Conference Article |
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2007 |
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Int. Conf. on Image Analysis and Recognition, |
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4633 |
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469–480 |
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Montreal (Canada) |
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ADAS |
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ADAS @ adas @ DoS2007a |
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813 |
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Author |
Enrique Cabello; Cristina Conde; Angel Serrano; Licesio Rodriguez; David Vazquez |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Empleo de sistemas biométricos para el reconocimiento de personas en aeropuertos |
Type |
Miscellaneous |
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Year |
2006 |
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Instituto Universitario de Investigación sobre Seguridad Interior (IUSI 2006) |
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Surveillance; Face detection; Face recognition |
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Abstract |
El presente proyecto se desarrolló a lo largo del año 2005, probando un prototipo de un sistema de verificación facial con imágenes extraídas de las cámaras de video vigilancia del aeropuerto de Barajas. Se diseñaron varios experimentos, agrupados en dos clases. En el primer tipo, el sistema es entrenado con imágenes obtenidas en condiciones de laboratorio y luego probado con imágenes extraídas de las cámaras de video vigilancia del aeropuerto de Barajas. En el segundo caso, tanto las imágenes de entrenamiento como las de prueba corresponden a imágenes extraídas de Barajas. Se ha desarrollado un sistema completo, que incluye adquisición y digitalización de las imágenes, localización y recorte de las caras en escena, verificación de sujetos y obtención de resultados. Los resultados muestran, que, en general, un sistema de verificación facial basado en imágenes puede ser una ayuda a un operario que deba estar vigilando amplias zonas. |
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invisible;ADAS |
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ADAS @ adas @ CCS2006a |
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1672 |
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Author |
F.X. Perez; F. Javier Sanchez; Xavier Binefa; Xavier Roca; Jordi Vitria; Juan J. Villanueva |
![goto web page url](img/www.gif)
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Title |
A mathematical morphology-based system for IC´s inspection and analysis. |
Type |
Conference Article |
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1993 |
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Institute of Physics Conferences Series |
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Volume |
135 |
Issue |
10 |
Pages |
381–384 |
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Bristol |
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Institute of Physics |
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MV;OR;ISE |
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BCNPCL @ bcnpcl @ PSB1993; IAM @ iam @ PSB1993 |
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150 |
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Permanent link to this record |
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Author |
X. Binefa; F. Javier Sanchez; F.X. Perez; Xavier Roca; Jordi Vitria; Juan J. Villanueva |
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Title |
Using defocus in optical inspection of integrated circuits |
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Conference Article |
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Year |
1993 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
Institute of Physics Conferences Series |
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135 |
Issue |
10 |
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389-392 |
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Bristol |
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Institute of Physics |
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MV;OR;ISE |
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BCNPCL @ bcnpcl @ BSP1993; IAM @ iam @ BSP1993 |
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151 |
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Author |
Sergio Escalera; David M.J. Tax; Oriol Pujol; Petia Radeva; Robert P.W. Duin |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Multi-Class Classification in Image Analysis Via Error-Correcting Output Codes |
Type |
Book Chapter |
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2011 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
Innovations in Intelligent Image Analysis |
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339 |
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7-29 |
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A common way to model multi-class classification problems is by means of Error-Correcting Output Codes (ECOC). Given a multi-class problem, the ECOC technique designs a codeword for each class, where each position of the code identifies the membership of the class for a given binary problem.A classification decision is obtained by assigning the label of the class with the closest code. In this paper, we overview the state-of-the-art on ECOC designs and test them in real applications. Results on different multi-class data sets show the benefits of using the ensemble of classifiers when categorizing objects in images. |
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Springer Berlin Heidelberg |
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Berlin |
Editor |
H. Kawasnicka; L.Jain |
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1860-949X |
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978-3-642-17933-4 |
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MILAB;HuPBA |
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no |
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Admin @ si @ ETP2011 |
Serial |
1746 |
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Permanent link to this record |
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Author |
David Vazquez; Enrique Cabello |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Empleo de sistemas biométricos faciales aplicados al reconocimiento de personas en aeropuertos |
Type |
Report |
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Year |
2007 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
Ingeniería Técnica en Informática de Sistemas |
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URJC |
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Surveillance; Face detection; Face recognition |
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Abstract |
El presente proyecto se desarrolló a lo largo del año 2005 y 2006, probando un prototipo de un sistema de verificación facial con imágenes extraídas de las cámaras de video-vigilancia del aeropuerto de Barajas. Se diseñaron varios experimentos, agrupados en dos clases. En el primer tipo, el sistema es entre- nado con imágenes obtenidas en condiciones de laboratorio y luego probado con imágenes extraídas de las cámaras de video-vigilancia del aeropuerto de Barajas. En el segundo caso, tanto las imágenes de entrenamiento como las de prueba corresponden a imágenes extraídas de Barajas.
Se ha desarrollado un sistema completo, que incluye adquisición y digitalización de las imágenes, localización y recorte de las caras en escena, verificación de sujetos y obtención de resultados. Los resultados muestran que, en general, un sistema de verificación facial basado en imágenes puede ser una valiosa ayuda a un operario que deba estar vigilando amplias zonas. |
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Bachelor's thesis |
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invisible;ADAS |
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no |
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ADAS @ adas @ VC2007a |
Serial |
1671 |
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Permanent link to this record |
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Author |
Roger Max Calle Quispe; Maya Aghaei Gavari; Eduardo Aguilar Torres |
![goto web page url](img/www.gif)
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Title |
Towards real-time accurate safety helmets detection through a deep learning-based method |
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2023 |
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Ingeniare. Revista chilena de ingenieria |
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31 |
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12 |
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Occupational safety is a fundamental activity in industries and revolves around the management of the necessary controls that must be present to mitigate occupational risks. These controls include verifying the use of Personal Protection Equipment (PPE). Within PPE, safety helmets are vital to reducing severe or fatal consequences caused by head injuries. This problem has been addressed recently by various research based on deep learning to detect the usage of safety helmets by the present people in the industrial field.
These works have achieved promising results for safety helmet detection using object detection methods from the YOLO family. In this work, we propose to analyze the performance of Scaled-YOLOv4, a novel model of the YOLO family that has yet to be previously studied for this problem. The performance of the Scaled-YOLOv4 is evaluated on two public databases, carefully selected among the previously proposed datasets for the occupational safety framework. We demonstrate the superiority of Scaled-YOLOv4 in terms of mAP and Fl-score concerning the previous works for both databases. Further, we summarize the currently available datasets for safety helmet detection purposes and discuss their suitability. |
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MILAB |
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Admin @ si @ CAA2023 |
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3846 |
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Author |
Marçal Rusiñol; Lluis Pere de las Heras; Oriol Ramos Terrades |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Flowchart Recognition for Non-Textual Information Retrieval in Patent Search |
Type |
Journal Article |
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Year |
2014 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
Information Retrieval |
Abbreviated Journal |
IR |
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17 |
Issue |
5-6 |
Pages |
545-562 |
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Flowchart recognition; Patent documents; Text/graphics separation; Raster-to-vector conversion; Symbol recognition |
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Abstract |
Relatively little research has been done on the topic of patent image retrieval and in general in most of the approaches the retrieval is performed in terms of a similarity measure between the query image and the images in the corpus. However, systems aimed at overcoming the semantic gap between the visual description of patent images and their conveyed concepts would be very helpful for patent professionals. In this paper we present a flowchart recognition method aimed at achieving a structured representation of flowchart images that can be further queried semantically. The proposed method was submitted to the CLEF-IP 2012 flowchart recognition task. We report the obtained results on this dataset. |
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1386-4564 |
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DAG; 600.077 |
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no |
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Admin @ si @ RHR2013 |
Serial |
2342 |
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Author |
W. Niessen; Antonio Lopez; W. Van Enk; P. Van Roermund; Bart M. Ter Haar Romeny; M. Viergever |
![download PDF file pdf](img/file_PDF.gif)
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Title |
In Vivo Analysis of Trabecular Bone Architecture. |
Type |
Miscellaneous |
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Year |
1997 |
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Information Processing in Medical Imaging, pp. 435–440. |
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ADAS |
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no |
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ADAS @ adas @ NLE1997b |
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67 |
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Miguel Oliveira; Victor Santos; Angel Sappa |
![goto web page (via DOI) doi](img/doi.gif)
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Multimodal Inverse Perspective Mapping |
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Journal Article |
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2015 |
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Information Fusion |
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IF |
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24 |
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108–121 |
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Inverse perspective mapping; Multimodal sensor fusion; Intelligent vehicles |
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Over the past years, inverse perspective mapping has been successfully applied to several problems in the field of Intelligent Transportation Systems. In brief, the method consists of mapping images to a new coordinate system where perspective effects are removed. The removal of perspective associated effects facilitates road and obstacle detection and also assists in free space estimation. There is, however, a significant limitation in the inverse perspective mapping: the presence of obstacles on the road disrupts the effectiveness of the mapping. The current paper proposes a robust solution based on the use of multimodal sensor fusion. Data from a laser range finder is fused with images from the cameras, so that the mapping is not computed in the regions where obstacles are present. As shown in the results, this considerably improves the effectiveness of the algorithm and reduces computation time when compared with the classical inverse perspective mapping. Furthermore, the proposed approach is also able to cope with several cameras with different lenses or image resolutions, as well as dynamic viewpoints. |
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ADAS; 600.055; 600.076 |
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Admin @ si @ OSS2015c |
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2532 |
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Author |
Bogdan Raducanu; Fadi Dornaika |
![goto web page (via DOI) doi](img/doi.gif)
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
A Discriminative Non-Linear Manifold Learning Technique for Face Recognition |
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Book Chapter |
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Year |
2011 |
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Informatics Engineering and Information Science |
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254 |
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6 |
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339-353 |
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In this paper we propose a novel non-linear discriminative analysis technique for manifold learning. The proposed approach is a discriminant version of Laplacian Eigenmaps which takes into account the class label information in order to guide the procedure of non-linear dimensionality reduction. By following the large margin concept, the graph Laplacian is split in two components: within-class graph and between-class graph to better characterize the discriminant property of the data.
Our approach has been tested on several challenging face databases and it has been conveniently compared with other linear and non-linear techniques. The experimental results confirm that our method outperforms, in general, the existing ones. Although we have concentrated in this paper on the face recognition problem, the proposed approach could also be applied to other category of objects characterized by large variance in their appearance. |
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Springer Berlin Heidelberg |
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1865-0929 |
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978-3-642-25482-6 |
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OR;MV |
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1804 |
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