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Author (up) Angel Sappa; M.A. Garcia
Title Generating compact representations of static scenes by means of 3D object hierarchies Type Journal
Year 2007 Publication The Visual Computer, 23(2): 143–154 Abbreviated Journal
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Notes ADAS Approved no
Call Number ADAS @ adas @ SaG2007a Serial 798
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Author (up) Angel Sappa; M.A. Garcia
Title Coarse-to-Fine Approximation of Range Images with Bounded Error Adaptive Triangular Meshes Type Journal
Year 2007 Publication Journal of Electronic Imaging, 16(2), 023010(11 pages) Abbreviated Journal
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Notes ADAS Approved no
Call Number ADAS @ adas @ SaG2007b Serial 802
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Author (up) Angel Sappa; M.A. Garcia
Title Incremental Integration of Multiresolution Range Images Type Journal
Year 2007 Publication The imaging science journal. Vol. 55, No. 3 pp. 127–139 Abbreviated Journal
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Notes ADAS Approved no
Call Number ADAS @ adas @ SaG2007d Serial 812
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Author (up) Angel Sappa; M.A. Garcia
Title Aprendiendo a recrear la realidad en 3D Type Journal
Year 2007 Publication UAB Divulga, Revista de Divulgacion Cientifica Abbreviated Journal
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Notes spreading Approved no
Call Number ADAS @ adas @ SaG2007c Serial 1470
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Author (up) Angel Sappa; Mohammad Rouhani
Title Efficient Distance Estimation for Fitting Implicit Quadric Surfaces Type Conference Article
Year 2009 Publication 16th IEEE International Conference on Image Processing Abbreviated Journal
Volume Issue Pages 3521–3524
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Abstract This paper presents a novel approach for estimating the shortest Euclidean distance from a given point to the corresponding implicit quadric fitting surface. It first estimates the orthogonal orientation to the surface from the given point; then the shortest distance is directly estimated by intersecting the implicit surface with a line passing through the given point according to the estimated orthogonal orientation. The proposed orthogonal distance estimation is easily obtained without increasing computational complexity; hence it can be used in error minimization surface fitting frameworks. Comparisons of the proposed metric with previous approaches are provided to show both improvements in CPU time as well as in the accuracy of the obtained results. Surfaces fitted by using the proposed geometric distance estimation and state of the art metrics are presented to show the viability of the proposed approach.
Address Cairo, Egypt
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ISSN 1522-4880 ISBN 978-1-4244-5653-6 Medium
Area Expedition Conference ICIP
Notes ADAS Approved no
Call Number ADAS @ adas @ SaR2009 Serial 1232
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Author (up) Angel Sappa; Niki Aifanti; N. Grammalidis; Sotiris Malassiotis
Title Advances in Vision-Based Human Body Modeling Type Book Chapter
Year 2004 Publication 3D Modeling & Animation: Systhesis and Analysis Techniques for the Human Body Abbreviated Journal
Volume Issue Pages 1-26
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Publisher Place of Publication Editor N. Sarris and M. Strintzis.
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ISSN ISBN 1-59140-299-9 Medium
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Notes ADAS Approved no
Call Number ADAS @ adas @ SAG2004a Serial 458
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Author (up) Angel Sappa; Niki Aifanti; Sotiris Malassiotis; Michael G. Strintzis
Title Monocular 3D Human Body Reconstruction Towards Depth Augmentation of Television Sequences Type Conference Article
Year 2003 Publication IEEE International Conference on Image Processing, Barcelona, Spain, September 2003 Abbreviated Journal
Volume Issue Pages 325-328
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Address Barcelona
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Notes ADAS Approved no
Call Number ADAS @ adas @ SAM2003 Serial 418
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Author (up) Angel Sappa; Niki Aifanti; Sotiris Malassiotis; Michael G. Strintzis
Title Unsupervised Motion Classification by means of Efficient Feature Selection and Tracking Type Miscellaneous
Year 2004 Publication IEEE Int. Symp. on 3D Data Processing, Visualization and Transmission Abbreviated Journal
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Address Thessaloniki (Greece)
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Notes Approved no
Call Number ADAS @ adas @ SAM2004a Serial 456
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Author (up) Angel Sappa; Niki Aifanti; Sotiris Malassiotis; Michael G. Strintzis
Title 3D Human Walking Modelling Type Book Whole
Year 2004 Publication Articulated Motion and Deformable Objects, Third International Workshop, (AMDO 2004), Lecture Notes in Computer Science, F.J. Perales, B.A. Draper (Eds.), 3179:111–122 Abbreviated Journal
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Address Springer-Verlag, Berlin, Heidelberg
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Notes Approved no
Call Number ADAS @ adas @ SAM2004b Serial 494
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Author (up) Angel Sappa; Niki Aifanti; Sotiris Malassiotis; Michael G. Strintzis
Title 3D Gait Estimation from Monoscopic Video Type Miscellaneous
Year 2004 Publication IEEE International Conference on Image Processing Abbreviated Journal
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Address Singapore
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Notes ADAS Approved no
Call Number ADAS @ adas @ SAM2004c Serial 495
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Author (up) Angel Sappa; Niki Aifanti; Sotiris Malassiotis; Michael G. Strintzis
Title Prior Knowledge Based Motion Model Representation Type Journal
Year 2005 Publication Electronic Letters on Computer Vision and Image Analysis, Special Issue on Articulated Motion & Deformable Objects, 5(3):55–67 (Electronic Letters: IF: 1.016) Abbreviated Journal
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Notes Approved no
Call Number ADAS @ adas @ SAM2005b Serial 539
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Author (up) Angel Sappa; Niki Aifanti; Sotiris Malassiotis; Michael G. Strintzis
Title Prior Knowledge Based Motion Model Representation Type Book Chapter
Year 2009 Publication Progress in Computer Vision and Image Analysis Abbreviated Journal
Volume 16 Issue Pages
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Publisher Place of Publication Editor Horst Bunke; JuanJose Villanueva; Gemma Sanchez
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Notes ADAS Approved no
Call Number ADAS @ adas @ SAM2009 Serial 1235
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Author (up) Angel Sappa; Niki Aifanti; Sotiris Malassiotis; N. Grammalidis
Title Survey of 3D Human Body Representations Type Book Chapter
Year 2005 Publication Encyclopedia of Information Science and Technology, 1(5):2696–2701 Abbreviated Journal
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Notes Approved no
Call Number ADAS @ adas @ SAM2005a Serial 497
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Author (up) Angel Sappa; P. Carvajal; Cristhian A. Aguilera-Carrasco; Miguel Oliveira; Dennis Romero; Boris X. Vintimilla
Title Wavelet based visible and infrared image fusion: a comparative study Type Journal Article
Year 2016 Publication Sensors Abbreviated Journal SENS
Volume 16 Issue 6 Pages 1-15
Keywords Image fusion; fusion evaluation metrics; visible and infrared imaging; discrete wavelet transform
Abstract This paper evaluates different wavelet-based cross-spectral image fusion strategies adopted to merge visible and infrared images. The objective is to find the best setup independently of the evaluation metric used to measure the performance. Quantitative performance results are obtained with state of the art approaches together with adaptations proposed in the current work. The options evaluated in the current work result from the combination of different setups in the wavelet image decomposition stage together with different fusion strategies for the final merging stage that generates the resulting representation. Most of the approaches evaluate results according to the application for which they are intended for. Sometimes a human observer is selected to judge the quality of the obtained results. In the current work, quantitative values are considered in order to find correlations between setups and performance of obtained results; these correlations can be used to define a criteria for selecting the best fusion strategy for a given pair of cross-spectral images. The whole procedure is evaluated with a large set of correctly registered visible and infrared image pairs, including both Near InfraRed (NIR) and Long Wave InfraRed (LWIR).
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Notes ADAS; 600.086; 600.076 Approved no
Call Number Admin @ si @SCA2016 Serial 2807
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Author (up) Angel Sappa; Patricia Suarez; Henry Velesaca; Dario Carpio
Title Domain Adaptation in Image Dehazing: Exploring the Usage of Images from Virtual Scenarios Type Conference Article
Year 2022 Publication 16th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing Abbreviated Journal
Volume Issue Pages 85-92
Keywords Domain adaptation; Synthetic hazed dataset; Dehazing
Abstract This work presents a novel domain adaptation strategy for deep learning-based approaches to solve the image dehazing
problem. Firstly, a large set of synthetic images is generated by using a realistic 3D graphic simulator; these synthetic
images contain different densities of haze, which are used for training the model that is later adapted to any real scenario.
The adaptation process requires just a few images to fine-tune the model parameters. The proposed strategy allows
overcoming the limitation of training a given model with few images. In other words, the proposed strategy implements
the adaptation of a haze removal model trained with synthetic images to real scenarios. It should be noticed that it is quite
difficult, if not impossible, to have large sets of pairs of real-world images (with and without haze) to train in a supervised
way dehazing algorithms. Experimental results are provided showing the validity of the proposed domain adaptation
strategy.
Address Lisboa; Portugal; July 2022
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Area Expedition Conference CGVCVIP
Notes MSIAU; no proj Approved no
Call Number Admin @ si @ SSV2022 Serial 3804
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