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Author |
Joan Serrat; Jordi Vitria; J. Pladellorens |
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Title |
Morphological Segmentation of Heart Scintigraphic image Sequences. |
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Conference Article |
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1991 |
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Computer Assisted Radiology. |
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Berlin |
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ADAS;OR;MV |
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ADAS @ adas @ SVP1991 |
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263 |
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Author |
Joan Serrat; Antonio Lopez; David Lloret |
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On ridges and valleys. |
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Conference Article |
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2000 |
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15 th International Conference on Pattern Recognition |
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4 |
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59-66 |
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Barcelona |
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ICPR |
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ADAS |
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ADAS @ adas @ SLL2000 d |
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334 |
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Author |
David Lloret; Joan Serrat; Antonio Lopez; Juan J. Villanueva |
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Title |
Ultrasound to MR Volume Registration for Brain Sinking Measurement |
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Conference Article |
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2003 |
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1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003 |
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2652 |
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420-427 |
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Springer-Verlag |
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IbPRIA |
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ADAS |
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ADAS @ adas @ LSL2003a |
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384 |
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Author |
Judit Martinez; Eva Costa; P. Herreros; Antonio Lopez; Juan J. Villanueva |
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Title |
TV-Screen Quality Inspection by Artificial Vision |
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Conference Article |
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2003 |
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Proceedings SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision (QCAV 2003) |
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A real-time vision system for TV screen quality inspection is introduced. The whole system consists of eight cameras and one processor per camera. It acquires and processes 112 images in 6 seconds. The defects to be inspected can be grouped into four main categories (bubble, line-out, line reduction and landing) although there exists a large variability among each particular type of defect. The complexity of the whole inspection process has been reduced by dividing images into smaller ones and grouping the defects into frequency and intensity relevant ones. Tools such as mathematical morphology, Fourier transform, profile analysis and classification have been used. The performance of the system has been successfully proved against human operators in normal production conditions. |
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Gatlinburg, (EEUU) |
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ADAS |
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no |
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ADAS @ adas @ MCH2003a |
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393 |
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Author |
Daniel Ponsa; Xavier Roca |
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Title |
Multiple Model Approach to Deformable Shape Tracking |
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Conference Article |
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2003 |
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1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003 |
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2652 |
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782-792 |
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Springer-Verlag |
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IbPRIA |
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ADAS;ISE |
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ADAS @ adas @ PoR2003 |
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397 |
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Author |
Angel Sappa; Niki Aifanti; Sotiris Malassiotis; Michael G. Strintzis |
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Title |
Monocular 3D Human Body Reconstruction Towards Depth Augmentation of Television Sequences |
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Conference Article |
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2003 |
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IEEE International Conference on Image Processing, Barcelona, Spain, September 2003 |
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325-328 |
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Barcelona |
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ADAS |
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no |
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ADAS @ adas @ SAM2003 |
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418 |
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Author |
Angel Sappa; M.A. Garcia |
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Title |
Hierarchical Clustering of 3D Objects and its Application to Minimum Distance Computation |
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Conference Article |
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Year |
2004 |
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IEEE International Conference on Robotics & Automation, 5287–5292, New Orleans, LA (USA), ISBN: 0–7803–8232–3 |
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New Orleans, LA, USA |
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ADAS |
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ADAS @ adas @ SaG2004b |
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459 |
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Author |
Bart M. Ter Haar Romeny; W. Niessen; J. Weickert; P. Van Roermund; W. Van Enk; Antonio Lopez; R. Maas |
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Title |
Orientation detection of trabecular bone |
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Conference Article |
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Year |
1996 |
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Biophysics and Molecular Biology, International Biophysics Congress. Volume 65, pgs. P–H5–43 |
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ADAS |
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ADAS @ adas @ HNW1996 |
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489 |
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Author |
David Lloret; Antonio Lopez; Joan Serrat |
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Title |
Rigid Registration of CT and MR volumes based on Rothes creases |
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Conference Article |
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Year |
1997 |
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(SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis |
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1-6 |
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Barcelona (Spain) |
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ADAS |
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ADAS @ adas @ LLS1997 |
Serial |
490 |
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Author |
Muhammad Anwer Rao; David Vazquez; Antonio Lopez |
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Title |
Opponent Colors for Human Detection |
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Conference Article |
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Year |
2011 |
Publication |
5th Iberian Conference on Pattern Recognition and Image Analysis |
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6669 |
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363-370 |
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Pedestrian Detection; Color; Part Based Models |
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Abstract |
Human detection is a key component in fields such as advanced driving assistance and video surveillance. However, even detecting non-occluded standing humans remains a challenge of intensive research. Finding good features to build human models for further detection is probably one of the most important issues to face. Currently, shape, texture and motion features have deserve extensive attention in the literature. However, color-based features, which are important in other domains (e.g., image categorization), have received much less attention. In fact, the use of RGB color space has become a kind of choice by default. The focus has been put in developing first and second order features on top of RGB space (e.g., HOG and co-occurrence matrices, resp.). In this paper we evaluate the opponent colors (OPP) space as a biologically inspired alternative for human detection. In particular, by feeding OPP space in the baseline framework of Dalal et al. for human detection (based on RGB, HOG and linear SVM), we will obtain better detection performance than by using RGB space. This is a relevant result since, up to the best of our knowledge, OPP space has not been previously used for human detection. This suggests that in the future it could be worth to compute co-occurrence matrices, self-similarity features, etc., also on top of OPP space, i.e., as we have done with HOG in this paper. |
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Las Palmas de Gran Canaria. Spain |
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Springer |
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Berlin Heidelberg |
Editor |
J. Vitria; J.M. Sanches; M. Hernandez |
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English |
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English |
Original Title |
Opponent Colors for Human Detection |
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Lecture Notes on Computer Science |
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0302-9743 |
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978-3-642-21256-7 |
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IbPRIA |
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ADAS @ adas @ RVL2011a |
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1666 |
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