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Author |
Hassan Ahmed Sial |
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Title |
Estimating Light Effects from a Single Image: Deep Architectures and Ground-Truth Generation |
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Year |
2021 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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In this thesis, we explore how to estimate the effects of the light interacting with the scene objects from a single image. To achieve this goal, we focus on recovering intrinsic components like reflectance, shading, or light properties such as color and position using deep architectures. The success of these approaches relies on training on large and diversified image datasets. Therefore, we present several contributions on this such as: (a) a data-augmentation technique; (b) a ground-truth for an existing multi-illuminant dataset; (c) a family of synthetic datasets, SID for Surreal Intrinsic Datasets, with diversified backgrounds and coherent light conditions; and (d) a practical pipeline to create hybrid ground-truths to overcome the complexity of acquiring realistic light conditions in a massive way. In parallel with the creation of datasets, we trained different flexible encoder-decoder deep architectures incorporating physical constraints from the image formation models.
In the last part of the thesis, we apply all the previous experience to two different problems. Firstly, we create a large hybrid Doc3DShade dataset with real shading and synthetic reflectance under complex illumination conditions, that is used to train a two-stage architecture that improves the character recognition task in complex lighting conditions of unwrapped documents. Secondly, we tackle the problem of single image scene relighting by extending both, the SID dataset to present stronger shading and shadows effects, and the deep architectures to use intrinsic components to estimate new relit images. |
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September 2021 |
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Ph.D. thesis |
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IMPRIMA |
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Maria Vanrell;Ramon Baldrich |
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978-84-122714-8-5 |
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CIC; |
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Admin @ si @ Sia2021 |
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3607 |
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A. Pujol; Jordi Vitria; Petia Radeva; X. Binefa; Robert Benavente; Ernest Valveny; Craig Von Land |
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Real time pharmaceutical product recognition using color and shape indexing. |
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Conference Article |
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1999 |
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Proceedings of the 2nd International Workshop on European Scientific and Industrial Collaboration (WESIC´99), Promotoring Advanced Technologies in Manufacturing. |
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OR;MILAB;DAG;CIC;MV |
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BCNPCL @ bcnpcl @ PVR1999 |
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24 |
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Author |
Felipe Lumbreras; Xavier Roca; Daniel Ponsa; Robert Benavente; J. Martinez; Silvia Sanchez; Coen Antens; Juan J. Villanueva |
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Title |
Visual Inspection of Safety Belts |
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Conference Article |
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Year |
2001 |
Publication |
International Conference on Quality Control by Artificial Vision |
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2 |
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526–531 |
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France |
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QCAV |
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ADAS;ISE;CIC |
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ADAS @ adas @ LRP2001 |
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122 |
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Author |
Francesc Tous; Agnes Borras; Robert Benavente; Ramon Baldrich; Maria Vanrell; Josep Llados |
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Title |
Textual Descriptors for browsing people by visual appearence. |
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Conference Article |
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Year |
2002 |
Publication |
5è. Congrés Català d’Intel·ligència Artificial CCIA |
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Image retrieval, textual descriptors, colour naming, colour normalization, graph matching. |
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This paper presents a first approach to build colour and structural descriptors for information retrieval on a people database. Queries are formulated in terms of their appearance that allows to seek people wearing specific clothes of a given colour name or texture. Descriptors are automatically computed by following three essential steps. A colour naming labelling from pixel properties. A region seg- mentation step based on colour properties of pixels combined with edge information. And a high level step that models the region arrangements in order to build clothes structure. Results are tested on large set of images from real scenes taken at the entrance desk of a building. |
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DAG;CIC |
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no |
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Call Number |
CAT @ cat @ TBB2002a |
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287 |
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Author |
Agnes Borras; Francesc Tous; Josep Llados; Maria Vanrell |
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Title |
High-Level Clothes Description Based on Colour-Texture and Structural Features |
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Conference Article |
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Year |
2003 |
Publication |
1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003 |
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Palma de Mallorca |
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DAG;CIC |
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no |
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Call Number |
CAT @ cat @ BTL2003b |
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369 |
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Author |
Anna Salvatella; Maria Vanrell; Juan J. Villanueva |
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Title |
Texture Description based on Subtexture Components, 3rd International Workshop on Texture Syntesis and Analysis |
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Conference Article |
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Year |
2003 |
Publication |
3rd International Workshop on Texture Synthesis and Analysis, |
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77–82 |
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Nice |
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1-904410-11-1 |
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CIC |
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no |
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Call Number |
CAT @ cat @ SVV2003 |
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422 |
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Author |
Partha Pratim Roy; Eduard Vazquez; Josep Llados; Ramon Baldrich; Umapada Pal |
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Title |
A System to Retrieve Text/Symbols from Color Maps using Connected Component and Skeleton Analysis |
Type |
Conference Article |
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Year |
2007 |
Publication |
Seventh IAPR International Workshop on Graphics Recognition |
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79–78 |
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Curitiba (Brasil) |
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J. Llados, W. Liu, J.M. Ogier |
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GREC |
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Notes |
CAT; DAG;CIC |
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no |
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Call Number |
CAT @ cat @ RVL2007 |
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836 |
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Author |
Jose Manuel Alvarez; Antonio Lopez; Ramon Baldrich |
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Title |
Shadow Resistant Road Segmentation from a Mobile Monocular System |
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Conference Article |
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Year |
2007 |
Publication |
3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), J. Marti et al. (Eds.) LNCS 4477:9–16 |
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road detection |
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Gerona (Spain) |
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ADAS;CIC |
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no |
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Call Number |
ADAS @ adas @ ALB2007 |
Serial |
943 |
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Author |
Eduard Vazquez; Ramon Baldrich |
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Title |
Colour Image Segmentation in Presence of Shadows |
Type |
Conference Article |
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2008 |
Publication |
4th European Conference on Colour in Graphics, Imaging and Vision Proceedings |
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383–387 |
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Terrassa (Spain) |
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CGIV08 |
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CAT;CIC |
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no |
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CAT @ cat @ VaB2008 |
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966 |
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Author |
Javier Vazquez; Maria Vanrell; Ramon Baldrich |
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Title |
Towards a Psychophysical Evaluation of Colour Constancy Algorithms |
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Conference Article |
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2008 |
Publication |
4th European Conference on Colour in Graphics, Imaging and Vision Proceedings |
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372–377 |
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Terrassa (Spain) |
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CGIV08 |
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CAT;CIC |
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CAT @ cat @ VVB2008a |
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968 |
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Author |
C. Alejandro Parraga; Robert Benavente; Maria Vanrell; Ramon Baldrich |
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Title |
Modelling Inter-Colour Regions of Colour Naming Space |
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Conference Article |
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2008 |
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4th European Conference on Colour in Graphics, Imaging and Vision Proceedings |
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218–222 |
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Terrassa (Spain) |
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CGIV08 |
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CAT;CIC |
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CAT @ cat @ PBV2008 |
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969 |
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Author |
Eduard Vazquez; Joost Van de Weijer; Ramon Baldrich |
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Title |
Image Segmentation in the Presence of Shadows and Highligts |
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Conference Article |
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2008 |
Publication |
10th European Conference on Computer Vision |
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5305 |
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1–14 |
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Marseille (France) |
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LNCS |
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ECCV |
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CAT;CIC |
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CAT @ cat @ VVB2008b |
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1013 |
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Author |
Jose Manuel Alvarez; Antonio Lopez; Ramon Baldrich |
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Title |
Illuminant Invariant Model-Based Road Segmentation |
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Conference Article |
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2008 |
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IEEE Intelligent Vehicles Symposium, |
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1155–1180 |
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road detection |
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Eindhoven (The Netherlands) |
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ADAS;CIC |
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ADAS @ adas @ ALB2008 |
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1045 |
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Author |
Antonio Lopez; J. Hilgenstock; A. Busse; Ramon Baldrich; Felipe Lumbreras; Joan Serrat |
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Nightime Vehicle Detecion for Intelligent Headlight Control |
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Conference Article |
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2008 |
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Advanced Concepts for Intelligent Vision Systems, 10th International Conference, Proceedings, |
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5259 |
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113–124 |
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Intelligent Headlights; vehicle detection |
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Juan-les-Pins, France |
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ACIVS |
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ADAS;CIC |
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ADAS @ adas @ LHB2008a |
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1098 |
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Author |
Fahad Shahbaz Khan; Joost Van de Weijer; Maria Vanrell |
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Title |
Top-Down Color Attention for Object Recognition |
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Conference Article |
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2009 |
Publication |
12th International Conference on Computer Vision |
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979 - 986 |
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Generally the bag-of-words based image representation follows a bottom-up paradigm. The subsequent stages of the process: feature detection, feature description, vocabulary construction and image representation are performed independent of the intentioned object classes to be detected. In such a framework, combining multiple cues such as shape and color often provides below-expected results. This paper presents a novel method for recognizing object categories when using multiple cues by separating the shape and color cue. Color is used to guide attention by means of a top-down category-specific attention map. The color attention map is then further deployed to modulate the shape features by taking more features from regions within an image that are likely to contain an object instance. This procedure leads to a category-specific image histogram representation for each category. Furthermore, we argue that the method combines the advantages of both early and late fusion. We compare our approach with existing methods that combine color and shape cues on three data sets containing varied importance of both cues, namely, Soccer ( color predominance), Flower (color and shape parity), and PASCAL VOC Challenge 2007 (shape predominance). The experiments clearly demonstrate that in all three data sets our proposed framework significantly outperforms the state-of-the-art methods for combining color and shape information. |
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Kyoto, Japan |
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1550-5499 |
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978-1-4244-4420-5 |
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ICCV |
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CIC |
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CAT @ cat @ SWV2009 |
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1196 |
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Author |
Josep M. Gonfaus; Xavier Boix; Joost Van de Weijer; Andrew Bagdanov; Joan Serrat; Jordi Gonzalez |
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Title |
Harmony Potentials for Joint Classification and Segmentation |
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2010 |
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23rd IEEE Conference on Computer Vision and Pattern Recognition |
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3280–3287 |
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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. |
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San Francisco CA, USA |
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1063-6919 |
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978-1-4244-6984-0 |
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CVPR |
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ADAS;CIC;ISE |
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ADAS @ adas @ GBW2010 |
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1296 |
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Author |
Naila Murray; Eduard Vazquez |
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Title |
Lacuna Restoration: How to choose a neutral colour? |
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Conference Article |
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2010 |
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Proceedings of The CREATE 2010 Conference |
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248–252 |
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Painting restoration which involves filling in material loss (called lacuna) is a complex process. Several standard techniques exist to tackle lacuna restoration,
and this article focuses on those techniques that employ a “neutral” colour to mask the defect. Restoration experts often disagree on the choice of such a colour and in fact, the concept of a neutral colour is controversial. We posit that a neutral colour is one that attracts relatively little visual attention for a specific lacuna. We conducted an eye tracking experiment to compare two common neutral
colour selection methods, specifically the most common local colour and the mean local colour. Results obtained demonstrate that the most common local colour triggers less visual attention in general. Notwithstanding, we have observed instances in which the most common colour triggers a significant amount of attention when subjects spent time resolving their confusion about whether or not a lacuna was part of the painting. |
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Gjovik, Norway |
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CREATE |
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CIC |
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Admin @ si @ MuV2010 |
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1297 |
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Author |
Eduard Vazquez; Ramon Baldrich |
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Title |
Non-supervised goodness measure for image segmentation |
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Conference Article |
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2010 |
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Proceedings of The CREATE 2010 Conference |
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334–335 |
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Gjovik, Norway |
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CREATE |
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CAT @ cat @ VaB2010 |
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1299 |
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