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Author Laura Igual; Agata Lapedriza; Ricard Borras edit   pdf
doi  openurl
  Title (down) Robust Gait-Based Gender Classification using Depth Cameras Type Journal Article
  Year 2013 Publication EURASIP Journal on Advances in Signal Processing Abbreviated Journal EURASIPJ  
  Volume 37 Issue 1 Pages 72-80  
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  Abstract This article presents a new approach for gait-based gender recognition using depth cameras, that can run in real time. The main contribution of this study is a new fast feature extraction strategy that uses the 3D point cloud obtained from the frames in a gait cycle. For each frame, these points are aligned according to their centroid and grouped. After that, they are projected into their PCA plane, obtaining a representation of the cycle particularly robust against view changes. Then, final discriminative features are computed by first making a histogram of the projected points and then using linear discriminant analysis. To test the method we have used the DGait database, which is currently the only publicly available database for gait analysis that includes depth information. We have performed experiments on manually labeled cycles and over whole video sequences, and the results show that our method improves the accuracy significantly, compared with state-of-the-art systems which do not use depth information. Furthermore, our approach is insensitive to illumination changes, given that it discards the RGB information. That makes the method especially suitable for real applications, as illustrated in the last part of the experiments section.  
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  Notes MILAB; OR;MV Approved no  
  Call Number Admin @ si @ ILB2013 Serial 2144  
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Author Cristina Sanchez Montes; Jorge Bernal; Ana Garcia Rodriguez; Henry Cordova; Gloria Fernandez Esparrach edit  url
openurl 
  Title (down) Revisión de métodos computacionales de detección y clasificación de pólipos en imagen de colonoscopia Type Journal Article
  Year 2020 Publication Gastroenterología y Hepatología Abbreviated Journal GH  
  Volume 43 Issue 4 Pages 222-232  
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  Abstract Computer-aided diagnosis (CAD) is a tool with great potential to help endoscopists in the tasks of detecting and histologically classifying colorectal polyps. In recent years, different technologies have been described and their potential utility has been increasingly evidenced, which has generated great expectations among scientific societies. However, most of these works are retrospective and use images of different quality and characteristics which are analysed off line. This review aims to familiarise gastroenterologists with computational methods and the particularities of endoscopic imaging, which have an impact on image processing analysis. Finally, the publicly available image databases, needed to compare and confirm the results obtained with different methods, are presented.  
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  Notes MV; Approved no  
  Call Number Admin @ si @ SBG2020 Serial 3404  
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Author Jordi Vitria; J. Llacer edit  doi
openurl 
  Title (down) Reconstructing 3D light microscopic images using the EM algorithm Type Journal Article
  Year 1996 Publication Pattern Recognition Letters Abbreviated Journal  
  Volume 17 Issue 14 Pages 1491–1498  
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  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ ViL1996 Serial 74  
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Author F. Moreso; D. Seron; Jordi Vitria; J.M. Grinyo; F.M. Colome-Serra; N. Pares; J.R. Serra edit  doi
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  Title (down) Quantification of Interstitial Chronic Renal Damage by means of Texture Analysis. Type Journal Article
  Year 1994 Publication Kidney International Abbreviated Journal  
  Volume 46 Issue 6 Pages 1721-1727  
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  Call Number BCNPCL @ bcnpcl @ MSV1994 Serial 113  
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Author Matthias S. Keil; Jordi Vitria edit  openurl
  Title (down) Pushing it to the Limit: Adaptation with Dynamically Switching Gain Control Type Journal
  Year 2007 Publication EURASIP Journal on Advances in Signal Processing, Vol 2007, Article ID 51684, 10 pages, doi: 10.1155/2007/51684 Abbreviated Journal  
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  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ KeV2007 Serial 794  
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