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| Author | Shida Beigpour | ||||
| Title | Physics-based Reflectance Estimation Applied to Recoloring | Type | Report | ||
| Year | 2009 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | 137 | Issue | Pages | ||
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| Corporate Author | Computer Vision Center | Thesis | Master's thesis | ||
| Publisher | Place of Publication | Bellaterra, Barcelona | Editor | ||
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| Notes | CIC | Approved | no | ||
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Admin @ si @ Bei2009 | Serial | 2396 | ||
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| Author | Ricard Balague | ||||
| Title | Exploring the combination of color cues for intrinsic image decomposition | Type | Report | ||
| Year | 2014 | Publication | CVC Technical Report | Abbreviated Journal | |
| Volume | 178 | Issue | Pages | ||
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| Abstract | Intrinsic image decomposition is a challenging problem that consists in separating an image into its physical characteristics: reflectance and shading. This problem can be solved in different ways, but most methods have combined information from several visual cues. In this work we describe an extension of an existing method proposed by Serra et al. which considers two color descriptors and combines them by means of a Markov Random Field. We analyze in depth the weak points of the method and we explore more possibilities to use in both descriptors. The proposed extension depends on the combination of the cues considered to overcome some of the limitations of the original method. Our approach is tested on the MIT dataset and Beigpour et al. dataset, which contain images of real objects acquired under controlled conditions and synthetic images respectively, with their corresponding ground truth. | ||||
| Address | UAB; September 2014 | ||||
| Corporate Author | Thesis | Master's thesis | |||
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| Notes | CIC; 600.074 | Approved | no | ||
| Call Number |
Admin @ si @ Bal2014 | Serial | 2579 | ||
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| Author | Susana Alvarez; Anna Salvatella; Maria Vanrell; Xavier Otazu | ||||
| Title | Low-dimensional and Comprehensive Color Texture Description | Type | Journal Article | ||
| Year | 2012 | Publication | Computer Vision and Image Understanding | Abbreviated Journal | CVIU |
| Volume | 116 | Issue | I | Pages | 54-67 |
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| Abstract | Image retrieval can be dealt by combining standard descriptors, such as those of MPEG-7, which are defined independently for each visual cue (e.g. SCD or CLD for Color, HTD for texture or EHD for edges).
A common problem is to combine similarities coming from descriptors representing different concepts in different spaces. In this paper we propose a color texture description that bypasses this problem from its inherent definition. It is based on a low dimensional space with 6 perceptual axes. Texture is described in a 3D space derived from a direct implementation of the original Julesz’s Texton theory and color is described in a 3D perceptual space. This early fusion through the blob concept in these two bounded spaces avoids the problem and allows us to derive a sparse color-texture descriptor that achieves similar performance compared to MPEG-7 in image retrieval. Moreover, our descriptor presents comprehensive qualities since it can also be applied either in segmentation or browsing: (a) a dense image representation is defined from the descriptor showing a reasonable performance in locating texture patterns included in complex images; and (b) a vocabulary of basic terms is derived to build an intermediate level descriptor in natural language improving browsing by bridging semantic gap |
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| ISSN | 1077-3142 | ISBN | Medium | ||
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| Notes | CAT;CIC | Approved | no | ||
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Admin @ si @ ASV2012 | Serial | 1827 | ||
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| Author | Susana Alvarez; Maria Vanrell | ||||
| Title | Texton theory revisited: a bag-of-words approach to combine textons | Type | Journal Article | ||
| Year | 2012 | Publication | Pattern Recognition | Abbreviated Journal | PR |
| Volume | 45 | Issue | 12 | Pages | 4312-4325 |
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| Abstract | The aim of this paper is to revisit an old theory of texture perception and
update its computational implementation by extending it to colour. With this in mind we try to capture the optimality of perceptual systems. This is achieved in the proposed approach by sharing well-known early stages of the visual processes and extracting low-dimensional features that perfectly encode adequate properties for a large variety of textures without needing further learning stages. We propose several descriptors in a bag-of-words framework that are derived from different quantisation models on to the feature spaces. Our perceptual features are directly given by the shape and colour attributes of image blobs, which are the textons. In this way we avoid learning visual words and directly build the vocabularies on these lowdimensionaltexton spaces. Main differences between proposed descriptors rely on how co-occurrence of blob attributes is represented in the vocabularies. Our approach overcomes current state-of-art in colour texture description which is proved in several experiments on large texture datasets. |
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| Series Volume | Series Issue | Edition | |||
| ISSN | 0031-3203 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Notes | CIC | Approved | no | ||
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Admin @ si @ AlV2012a | Serial | 2130 | ||
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| Author | Bojana Gajic; Ramon Baldrich | ||||
| Title | Cross-domain fashion image retrieval | Type | Conference Article | ||
| Year | 2018 | Publication | CVPR 2018 Workshop on Women in Computer Vision (WiCV 2018, 4th Edition) | Abbreviated Journal | |
| Volume | Issue | Pages | 19500-19502 | ||
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| Abstract | Cross domain image retrieval is a challenging task that implies matching images from one domain to their pairs from another domain. In this paper we focus on fashion image retrieval, which involves matching an image of a fashion item taken by users, to the images of the same item taken in controlled condition, usually by professional photographer. When facing this problem, we have different products
in train and test time, and we use triplet loss to train the network. We stress the importance of proper training of simple architecture, as well as adapting general models to the specific task. |
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| Address | Salt Lake City, USA; 22 June 2018 | ||||
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| Area | Expedition | Conference | CVPRW | ||
| Notes | CIC; 600.087 | Approved | no | ||
| Call Number |
Admin @ si @ | Serial | 3709 | ||
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| Author | Bojana Gajic; Eduard Vazquez; Ramon Baldrich | ||||
| Title | Evaluation of Deep Image Descriptors for Texture Retrieval | Type | Conference Article | ||
| Year | 2017 | Publication | Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) | Abbreviated Journal | |
| Volume | Issue | Pages | 251-257 | ||
| Keywords | Texture Representation; Texture Retrieval; Convolutional Neural Networks; Psychophysical Evaluation | ||||
| Abstract | The increasing complexity learnt in the layers of a Convolutional Neural Network has proven to be of great help for the task of classification. The topic has received great attention in recently published literature.
Nonetheless, just a handful of works study low-level representations, commonly associated with lower layers. In this paper, we explore recent findings which conclude, counterintuitively, the last layer of the VGG convolutional network is the best to describe a low-level property such as texture. To shed some light on this issue, we are proposing a psychophysical experiment to evaluate the adequacy of different layers of the VGG network for texture retrieval. Results obtained suggest that, whereas the last convolutional layer is a good choice for a specific task of classification, it might not be the best choice as a texture descriptor, showing a very poor performance on texture retrieval. Intermediate layers show the best performance, showing a good combination of basic filters, as in the primary visual cortex, and also a degree of higher level information to describe more complex textures. |
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| Address | Porto, Portugal; 27 February – 1 March 2017 | ||||
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| Area | Expedition | Conference | VISIGRAPP | ||
| Notes | CIC; 600.087 | Approved | no | ||
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Admin @ si @ | Serial | 3710 | ||
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| Author | Maria Vanrell; Felipe Lumbreras; A. Pujol; Ramon Baldrich; Josep Llados; Juan J. Villanueva | ||||
| Title | Colour Normalisation Based on Background Information. | Type | Miscellaneous | ||
| Year | 2001 | Publication | Proceeding ICIP 2001, IEEE International Conference on Image Processing | Abbreviated Journal | ICIP 2001 |
| Volume | Issue | 1 | Pages | 874–877 | |
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| Address | Grecia. | ||||
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| Notes | ADAS;DAG;CIC | Approved | no | ||
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ADAS @ adas @ VLP2001 | Serial | 167 | ||
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| Author | Daniel Ponsa; Robert Benavente; Felipe Lumbreras; Judit Martinez; Xavier Roca | ||||
| Title | Quality control of safety belts by machine vision inspection for real-time production | Type | Journal Article | ||
| Year | 2003 | Publication | Optical Engineering (IF: 0.877) | Abbreviated Journal | |
| Volume | 42 | Issue | 4 | Pages | 1114-1120 |
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| Publisher | SPIE | Place of Publication | Editor | ||
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| Notes | ADAS;ISE;CIC | Approved | no | ||
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ADAS @ adas @ PRL2003 | Serial | 399 | ||
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| Author | Felipe Lumbreras; Joan Serrat; Ramon Baldrich; Maria Vanrell; Juan J. Villanueva | ||||
| Title | Color Texture Recognition Through Multiresolution Features | Type | Miscellaneous | ||
| Year | 2001 | Publication | QCAV 2001 International Conference on Quality Control by Artificial Vision, France, 1:114–121. | Abbreviated Journal | |
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| Notes | ADAS;CIC | Approved | no | ||
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ADAS @ adas @ LSB2001 | Serial | 124 | ||
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| Author | Felipe Lumbreras; Xavier Roca; Daniel Ponsa; Robert Benavente; Judit Martinez; Silvia Sanchez; Coen Antens; Juan J. Villanueva | ||||
| Title | Visual Inspection of Safety Belts | Type | Conference Article | ||
| Year | 2001 | Publication | International Conference on Quality Control by Artificial Vision | Abbreviated Journal | |
| Volume | 2 | Issue | Pages | 526–531 | |
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| Address | France | ||||
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| Area | Expedition | Conference | QCAV | ||
| Notes | ADAS;ISE;CIC | Approved | no | ||
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ADAS @ adas @ LRP2001 | Serial | 122 | ||
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| Author | Antonio Lopez; J. Hilgenstock; A. Busse; Ramon Baldrich; Felipe Lumbreras; Joan Serrat | ||||
| Title | Temporal Coherence Analysis for Intelligent Headlight Control | Type | Miscellaneous | ||
| Year | 2008 | Publication | 2nd Workshop on Perception, Planning and Navigation for Intelligent Vehicles | Abbreviated Journal | |
| Volume | Issue | Pages | 59–64 | ||
| Keywords | Intelligent Headlights | ||||
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| Area | Expedition | Conference | IROS | ||
| Notes | ADAS;CIC | Approved | no | ||
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ADAS @ adas @ LHB2008b | Serial | 1112 | ||
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| Author | Antonio Lopez; J. Hilgenstock; A. Busse; Ramon Baldrich; Felipe Lumbreras; Joan Serrat | ||||
| Title | Nightime Vehicle Detecion for Intelligent Headlight Control | Type | Conference Article | ||
| Year | 2008 | Publication | Advanced Concepts for Intelligent Vision Systems, 10th International Conference, Proceedings, | Abbreviated Journal | |
| Volume | 5259 | Issue | Pages | 113–124 | |
| Keywords | Intelligent Headlights; vehicle detection | ||||
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| Address | Juan-les-Pins, France | ||||
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| Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
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| Area | Expedition | Conference | ACIVS | ||
| Notes | ADAS;CIC | Approved | no | ||
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ADAS @ adas @ LHB2008a | Serial | 1098 | ||
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| Author | Felipe Lumbreras; Ramon Baldrich; Maria Vanrell; Joan Serrat; Juan J. Villanueva | ||||
| Title | Multiresolution texture classification of ceramic tiles. | Type | Book Chapter | ||
| Year | 1999 | Publication | Recent Research developments in optical engineering, Research Signpost, 2: 213–228 | Abbreviated Journal | |
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| Address | India | ||||
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| Notes | ADAS;CIC | Approved | no | ||
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ADAS @ adas @ LBV1999b | Serial | 45 | ||
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| Author | Felipe Lumbreras; Ramon Baldrich; Maria Vanrell; Joan Serrat; Juan J. Villanueva | ||||
| Title | Multiresolution colour texture representations for tile classification | Type | Miscellaneous | ||
| Year | 1999 | Publication | Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes | Abbreviated Journal | |
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| Address | Bilbao | ||||
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| Notes | ADAS;CIC | Approved | no | ||
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ADAS @ adas @ LBV1999a | Serial | 3 | ||
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| Author | Josep M. Gonfaus; Xavier Boix; Joost Van de Weijer; Andrew Bagdanov; Joan Serrat; Jordi Gonzalez | ||||
| Title | Harmony Potentials for Joint Classification and Segmentation | Type | Conference Article | ||
| Year | 2010 | Publication | 23rd IEEE Conference on Computer Vision and Pattern Recognition | Abbreviated Journal | |
| Volume | Issue | Pages | 3280–3287 | ||
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| Abstract | Hierarchical conditional random fields have been successfully applied to object segmentation. One reason is their ability to incorporate contextual information at different scales. However, these models do not allow multiple labels to be assigned to a single node. At higher scales in the image, this yields an oversimplified model, since multiple classes can be reasonable expected to appear within one region. This simplified model especially limits the impact that observations at larger scales may have on the CRF model. Neglecting the information at larger scales is undesirable since class-label estimates based on these scales are more reliable than at smaller, noisier scales. To address this problem, we propose a new potential, called harmony potential, which can encode any possible combination of class labels. We propose an effective sampling strategy that renders tractable the underlying optimization problem. Results show that our approach obtains state-of-the-art results on two challenging datasets: Pascal VOC 2009 and MSRC-21. | ||||
| Address | San Francisco CA, USA | ||||
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| ISSN | 1063-6919 | ISBN | 978-1-4244-6984-0 | Medium | |
| Area | Expedition | Conference | CVPR | ||
| Notes | ADAS;CIC;ISE | Approved | no | ||
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ADAS @ adas @ GBW2010 | Serial | 1296 | ||
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| Author | Jose Manuel Alvarez; Antonio Lopez; Ramon Baldrich | ||||
| Title | Illuminant Invariant Model-Based Road Segmentation | Type | Conference Article | ||
| Year | 2008 | Publication | IEEE Intelligent Vehicles Symposium, | Abbreviated Journal | |
| Volume | Issue | Pages | 1155–1180 | ||
| Keywords | road detection | ||||
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| Address | Eindhoven (The Netherlands) | ||||
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| Notes | ADAS;CIC | Approved | no | ||
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ADAS @ adas @ ALB2008 | Serial | 1045 | ||
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| Author | Jose Manuel Alvarez; Antonio Lopez; Ramon Baldrich | ||||
| Title | Shadow Resistant Road Segmentation from a Mobile Monocular System | Type | Conference Article | ||
| Year | 2007 | Publication | 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), J. Marti et al. (Eds.) LNCS 4477:9–16 | Abbreviated Journal | |
| Volume | Issue | Pages | |||
| Keywords | road detection | ||||
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| Address | Gerona (Spain) | ||||
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| Notes | ADAS;CIC | Approved | no | ||
| Call Number |
ADAS @ adas @ ALB2007 | Serial | 943 | ||
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