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| Author | Javier Marin | ||||
| Title | Virtual learning for real testing | Type | Report | ||
| Year | 2009 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | 150 | Issue | Pages | ||
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| Corporate Author | Computer Vision Center | Thesis | Master's thesis | ||
| Publisher | Place of Publication | bell | Editor | ||
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| Notes | ADAS | Approved | no | ||
| Call Number | Admin @ si @ Mar2009c | Serial | 2403 | ||
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| Author | Ivet Rafegas | ||||
| Title | Exploring Low-Level Vision Models. Case Study: Saliency Prediction | Type | Report | ||
| Year | 2013 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | 175 | Issue | Pages | ||
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| Corporate Author | Thesis | Master's thesis | |||
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| Notes | CIC | Approved | no | ||
| Call Number | Admin @ si @ Raf2013 | Serial | 2409 | ||
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| Author | Francesco Brughi | ||||
| Title | Artistic Heritage Motive Retrieval: an Explorative Study | Type | Report | ||
| Year | 2013 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | 176 | Issue | Pages | ||
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| Corporate Author | Thesis | Master's thesis | |||
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| Notes | IAM | Approved | no | ||
| Call Number | Admin @ si @ Bru2013 | Serial | 2410 | ||
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| Author | German Ros | ||||
| Title | Visual SLAM for Driverless Cars: An Initial Survey | Type | Report | ||
| Year | 2012 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | 170 | Issue | Pages | ||
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| Corporate Author | Thesis | Master's thesis | |||
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| Notes | ADAS | Approved | no | ||
| Call Number | Admin @ si @ Ros2012c | Serial | 2414 | ||
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| Author | Xu Hu | ||||
| Title | Real-Time Part Based Models for Object Detection | Type | Report | ||
| Year | 2012 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | 171 | Issue | Pages | ||
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| Corporate Author | Thesis | Master's thesis | |||
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| Notes | ADAS;ISE | Approved | no | ||
| Call Number | Admin @ si @ Hu2012 | Serial | 2415 | ||
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| Author | Nuria Cirera | ||||
| Title | Recognition of Handwritten Historical Documents | Type | Report | ||
| Year | 2012 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | 174 | Issue | Pages | ||
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| Corporate Author | Thesis | Master's thesis | |||
| Publisher | Place of Publication | Editor | |||
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| Notes | DAG | Approved | no | ||
| Call Number | Admin @ si @ Cir2012 | Serial | 2416 | ||
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| Author | Cristhian A. Aguilera-Carrasco | ||||
| Title | Evaluation of feature detectors and descriptors in VISIBLE-LWIR cross-spectral imaging | Type | Report | ||
| Year | 2014 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | 177 | Issue | Pages | ||
| Keywords | Multi-spectral; Cross-spectral; Visible-LWIR imaging; Multimodal. | ||||
| Abstract | This thesis evaluates the performance of different state-of-art feature detectors and descriptors algorithms in the Visible-LWIR cross-spectral scenario. The focus is to determine if current detector and descriptor algorithms can be used to match features between the LWIR spectrum and the visible spectrum in applications such as, visual odometry, object recognition, image registration and stereo vision. An outdoor cross-spectral dataset was created to evaluate the suitability of the different algorithms. The results
show that the tested algorithms are not suitable to the task of matching features across different spectra. The repeatability ratio was smaller than the 30 percent in the best case and in general matched features were not accurate located. Additionally, these results also suggest that is necessary to create new algorithms that take into account the nature of the different spectra, describing characteristics that exist in both spectra such as discontinuities. |
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| Corporate Author | Thesis | Master's thesis | |||
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| Area | Expedition | Conference | |||
| Notes | ADAS; 600.076 | Approved | no | ||
| Call Number | Admin @ si @Agu2014 | Serial | 2526 | ||
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| Author | Daniel Hernandez; Alejandro Chacon; Antonio Espinosa; David Vazquez; Juan Carlos Moure; Antonio Lopez | ||||
| Title | Stereo Matching using SGM on the GPU | Type | Report | ||
| Year | 2016 | Publication | Programming and Tuning Massively Parallel Systems | Abbreviated Journal | PUMPS |
| Volume | Issue | Pages | |||
| Keywords | CUDA; Stereo; Autonomous Vehicle | ||||
| Abstract | Dense, robust and real-time computation of depth information from stereo-camera systems is a computationally demanding requirement for robotics, advanced driver assistance systems (ADAS) and autonomous vehicles. Semi-Global Matching (SGM) is a widely used algorithm that propagates consistency constraints along several paths across the image. This work presents a real-time system producing reliable disparity estimation results on the new embedded energy efficient GPU devices. Our design runs on a Tegra X1 at 42 frames per second (fps) for an image size of 640x480, 128 disparity levels, and using 4 path directions for the SGM method. | ||||
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| Area | Expedition | Conference | PUMPS | ||
| Notes | ADAS; 600.085; 600.087; 600.076 | Approved | no | ||
| Call Number | ADAS @ adas @ HCE2016b | Serial | 2776 | ||
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| Author | Ole Larsen; Petia Radeva; Enric Marti | ||||
| Title | Calculating the Bounds on the Optimal Parameters of Elasticity for a Snake | Type | Report | ||
| Year | 1994 | Publication | Technical Report | Abbreviated Journal | |
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| Address |
Aalborg University | ||||
| Corporate Author | Thesis | ||||
| Publisher | Aalborg University, Laboratory of image Analysis. | Place of Publication | Denmark | Editor | |
| Language | Summary Language | Original Title | |||
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| Area | Aalborg University, Laboratory of image Analysis. | Expedition | Conference | ||
| Notes | MILAB;IAM | Approved | no | ||
| Call Number | IAM @ iam @ LRM1994 | Serial | 1560 | ||
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| Author | Carles Fernandez; Jordi Gonzalez | ||||
| Title | A Multilingually-Extensible Module for Natural Language Generation | Type | Report | ||
| Year | 2008 | Publication | CVC Technical Report #120 | Abbreviated Journal | |
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| Address |
Barcelona, Spain | ||||
| Corporate Author | Thesis | ||||
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| Notes | Approved | no | |||
| Call Number | ISE @ ise @ FeG2008 | Serial | 1146 | ||
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| Author | Ognjen Rudovic; Jordi Gonzalez | ||||
| Title | Building Temporal Templates for Human Behaviour Classification | Type | Report | ||
| Year | 2008 | Publication | CVC Technical Report #127 | Abbreviated Journal | |
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| Address |
Barcelona, Spain | ||||
| Corporate Author | Thesis | ||||
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| Notes | Approved | no | |||
| Call Number | ISE @ ise @ RuG 2008 | Serial | 1147 | ||
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| Author | Mohammad Rouhani | ||||
| Title | 3D Data Fitting and Tracking for Real Time Applications | Type | Report | ||
| Year | 2009 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | 138 | Issue | 138 | Pages | |
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| Address |
Barcelona, Spain | ||||
| Corporate Author | Thesis | Master's thesis | |||
| Publisher | Place of Publication | Editor | |||
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| Notes | invisible;ADAS | Approved | no | ||
| Call Number | Admin @ si @ Rou2009 | Serial | 1150 | ||
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| Author | Lluis Gomez | ||||
| Title | Perceptual Organization for Text Extraction in Natural Scenes | Type | Report | ||
| Year | 2012 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | 173 | Issue | Pages | ||
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| Address |
Bellaterra | ||||
| Corporate Author | Thesis | Master's thesis | |||
| Publisher | Place of Publication | Editor | |||
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| Notes | DAG | Approved | no | ||
| Call Number | Admin @ si @ Gom2012 | Serial | 2309 | ||
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| Author | Onur Ferhat | ||||
| Title | Eye-Tracking with Webcam-Based Setups: Implementation of a Real-Time System and an Analysis of Factors Affecting Performance | Type | Report | ||
| Year | 2012 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | 172 | Issue | Pages | ||
| Keywords | Computer vision, eye-tracking, gaussian process, feature selection, optical flow | ||||
| Abstract | In the recent years commercial eye-tracking hardware has become more common, with the introduction of new models from several brands that have better performance and easier setup procedures. A cause and at the same time a result of this phenomenon is the popularity of eye-tracking research directed at marketing, accessibility and usability, among others.
One problem with these hardware components is scalability, because both the price and the necessary expertise to operate them makes it practically impossible in the large scale. In this work, we analyze the feasibility of a software eye-tracking system based on a single, ordinary webcam. Our aim is to discover the limits of such a system and to see whether it provides acceptable performances. The significance of this setup is that it is the most common setup found in consumer environments, off-the-shelf electronic devices such as laptops, mobile phones and tablet computers. As no special equipment such as infrared lights, mirrors or zoom lenses are used; setting up and calibrating the system is easier compared to other approaches using these components. Our work is based on the open source application Opengazer, which provides a good starting point for our contributions. We propose several improvements in order to push the system's performance further and make it feasible as a robust, real-time device. Then we carry out an elaborate experiment involving 18 human subjects and 4 different system setups. Finally, we give an analysis of the results and discuss the effects of setup changes, subject differences and modifications in the software. |
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| Address |
Bellaterra | ||||
| Corporate Author | Computer Vision Center | Thesis | Master's thesis | ||
| Publisher | Place of Publication | Editor | Fernando Vilariño | ||
| Language | Summary Language | Original Title | |||
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| Notes | MV | Approved | no | ||
| Call Number | Admin @ si @ Fer2012; IAM @ iam @ Fer2012 | Serial | 2165 | ||
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| Author | Joan M. Nuñez | ||||
| Title | Computer vision techniques for characterization of finger joints in X-ray image | Type | Report | ||
| Year | 2011 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | 165 | Issue | Pages | ||
| Keywords | Rheumatoid arthritis, X-ray, Sharp Van der Heijde, joint characterization, sclerosis detection, bone detection, edge, ridge | ||||
| Abstract | Rheumatoid arthritis (RA) is an autoimmune inflammatory type of arthritis which mainly affects hands on its first stages. Though it is a chronic disease and there is no cure for it, treatments require an accurate assessment of illness evolution. Such assessment is based on evaluation of hand X-ray images by using one of the several available semi-quantitative methods. This task requires highly trained medical personnel. That is why the automation of the assessment would allow professionals to save time and effort. Two stages are involved in this task. Firstly, the joint detection, afterwards, the joint characterization. Unlike the little existing previous work, this contribution clearly separates those two stages and sets the foundations of a modular assessment system focusing on the characterization stage. A hand joint dataset is created and an accurate data analysis is achieved in order to identify relevant features. Since the sclerosis and the lower bone were decided to be the most important features, different computer vision techniques were used in order to develop a detector system for both of them. Joint space width measures are provided and their correlation with Sharp-Van der Heijde is verified | ||||
| Address |
Bellaterra (Barcelona) | ||||
| Corporate Author | Computer Vision Center | Thesis | Master's thesis | ||
| Publisher | Place of Publication | Editor | Dr. Fernando Vilariño and Dra. Debora Gil | ||
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| Notes | MV;IAM; | Approved | no | ||
| Call Number | IAM @ iam @ Nuñ2011 | Serial | 1795 | ||
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