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| Author | Sagnik Das; Hassan Ahmed Sial; Ke Ma; Ramon Baldrich; Maria Vanrell; Dimitris Samaras | ||||
| Title | Intrinsic Decomposition of Document Images In-the-Wild | Type | Conference Article | ||
| Year | 2020 | Publication | 31st British Machine Vision Conference | Abbreviated Journal | |
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| Abstract | Automatic document content processing is affected by artifacts caused by the shape
of the paper, non-uniform and diverse color of lighting conditions. Fully-supervised methods on real data are impossible due to the large amount of data needed. Hence, the current state of the art deep learning models are trained on fully or partially synthetic images. However, document shadow or shading removal results still suffer because: (a) prior methods rely on uniformity of local color statistics, which limit their application on real-scenarios with complex document shapes and textures and; (b) synthetic or hybrid datasets with non-realistic, simulated lighting conditions are used to train the models. In this paper we tackle these problems with our two main contributions. First, a physically constrained learning-based method that directly estimates document reflectance based on intrinsic image formation which generalizes to challenging illumination conditions. Second, a new dataset that clearly improves previous synthetic ones, by adding a large range of realistic shading and diverse multi-illuminant conditions, uniquely customized to deal with documents in-the-wild. The proposed architecture works in two steps. First, a white balancing module neutralizes the color of the illumination on the input image. Based on the proposed multi-illuminant dataset we achieve a good white-balancing in really difficult conditions. Second, the shading separation module accurately disentangles the shading and paper material in a self-supervised manner where only the synthetic texture is used as a weak training signal (obviating the need for very costly ground truth with disentangled versions of shading and reflectance). The proposed approach leads to significant generalization of document reflectance estimation in real scenes with challenging illumination. We extensively evaluate on the real benchmark datasets available for intrinsic image decomposition and document shadow removal tasks. Our reflectance estimation scheme, when used as a pre-processing step of an OCR pipeline, shows a 21% improvement of character error rate (CER), thus, proving the practical applicability. The data and code will be available at: https://github.com/cvlab-stonybrook/DocIIW. |
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| Address | Virtual; September 2020 | ||||
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BMVC | ||
| Notes | CIC; 600.087; 600.140; 600.118 | Approved | no | ||
| Call Number | Admin @ si @ DSM2020 | Serial | 3461 | ||
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| Author | Xavier Otazu; Olivier Penacchio; Xim Cerda-Company | ||||
| Title | An excitatory-inhibitory firing rate model accounts for brightness induction, colour induction and visual discomfort | Type | Conference Article | ||
| Year | 2015 | Publication | Barcelona Computational, Cognitive and Systems Neuroscience | Abbreviated Journal | |
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| Address | Barcelona; June 2015 | ||||
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BARCCSYN | ||
| Notes | NEUROBIT;CIC | Approved | no | ||
| Call Number | Admin @ si @ OPC2015b | Serial | 2634 | ||
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| Author | Javier Vazquez; Robert Benavente; Maria Vanrell | ||||
| Title | Naming constraints constancy | Type | Conference Article | ||
| Year | 2012 | Publication | 2nd Joint AVA / BMVA Meeting on Biological and Machine Vision | Abbreviated Journal | |
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| Abstract | Different studies have shown that languages from industrialized cultures
share a set of 11 basic colour terms: red, green, blue, yellow, pink, purple, brown, orange, black, white, and grey (Berlin & Kay, 1969, Basic Color Terms, University of California Press)( Kay & Regier, 2003, PNAS, 100, 9085-9089). Some of these studies have also reported the best representatives or focal values of each colour (Boynton and Olson, 1990, Vision Res. 30,1311–1317), (Sturges and Whitfield, 1995, CRA, 20:6, 364–376). Some further studies have provided us with fuzzy datasets for color naming by asking human observers to rate colours in terms of membership values (Benavente -et al-, 2006, CRA. 31:1, 48–56,). Recently, a computational model based on these human ratings has been developed (Benavente -et al-, 2008, JOSA-A, 25:10, 2582-2593). This computational model follows a fuzzy approach to assign a colour name to a particular RGB value. For example, a pixel with a value (255,0,0) will be named 'red' with membership 1, while a cyan pixel with a RGB value of (0, 200, 200) will be considered to be 0.5 green and 0.5 blue. In this work, we show how this colour naming paradigm can be applied to different computer vision tasks. In particular, we report results in colour constancy (Vazquez-Corral -et al-, 2012, IEEE TIP, in press) showing that the classical constraints on either illumination or surface reflectance can be substituted by the statistical properties encoded in the colour names. [Supported by projects TIN2010-21771-C02-1, CSD2007-00018]. |
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AV A | ||
| Notes | CIC | Approved | no | ||
| Call Number | Admin @ si @ VBV2012 | Serial | 2131 | ||
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| Author | Xavier Otazu; Olivier Penacchio; Laura Dempere-Marco | ||||
| Title | An investigation into plausible neural mechanisms related to the the CIWaM computational model for brightness induction | Type | Conference Article | ||
| Year | 2012 | Publication | 2nd Joint AVA / BMVA Meeting on Biological and Machine Vision | Abbreviated Journal | |
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| Abstract | Brightness induction is the modulation of the perceived intensity of an area by the luminance of surrounding areas. From a purely computational perspective, we built a low-level computational model (CIWaM) of early sensory processing based on multi-resolution wavelets with the aim of replicating brightness and colour (Otazu et al., 2010, Journal of Vision, 10(12):5) induction effects. Furthermore, we successfully used the CIWaM architecture to define a computational saliency model (Murray et al, 2011, CVPR, 433-440; Vanrell et al, submitted to AVA/BMVA'12). From a biological perspective, neurophysiological evidence suggests that perceived brightness information may be explicitly represented in V1. In this work we investigate possible neural mechanisms that offer a plausible explanation for such effects. To this end, we consider the model by Z.Li (Li, 1999, Network:Comput. Neural Syst., 10, 187-212) which is based on biological data and focuses on the part of V1 responsible for contextual influences, namely, layer 2-3 pyramidal cells, interneurons, and horizontal intracortical connections. This model has proven to account for phenomena such as visual saliency, which share with brightness induction the relevant effect of contextual influences (the ones modelled by CIWaM). In the proposed model, the input to the network is derived from a complete multiscale and multiorientation wavelet decomposition taken from the computational model (CIWaM).
This model successfully accounts for well known pyschophysical effects (among them: the White's and modied White's effects, the Todorovic, Chevreul, achromatic ring patterns, and grating induction effects) for static contexts and also for brigthness induction in dynamic contexts defined by modulating the luminance of surrounding areas. From a methodological point of view, we conclude that the results obtained by the computational model (CIWaM) are compatible with the ones obtained by the neurodynamical model proposed here. |
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AV A | ||
| Notes | CIC | Approved | no | ||
| Call Number | Admin @ si @ OPD2012a | Serial | 2132 | ||
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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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ACIVS | ||
| Notes | ADAS;CIC | Approved | no | ||
| Call Number | ADAS @ adas @ LHB2008a | Serial | 1098 | ||
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| Author | Marcos V Conde; Javier Vazquez; Michael S Brown; Radu TImofte | ||||
| Title | NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement | Type | Conference Article | ||
| Year | 2024 | Publication | 38th AAAI Conference on Artificial Intelligence | Abbreviated Journal | |
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| Abstract | 3D lookup tables (3D LUTs) are a key component for image enhancement. Modern image signal processors (ISPs) have dedicated support for these as part of the camera rendering pipeline. Cameras typically provide multiple options for picture styles, where each style is usually obtained by applying a unique handcrafted 3D LUT. Current approaches for learning and applying 3D LUTs are notably fast, yet not so memory-efficient, as storing multiple 3D LUTs is required. For this reason and other implementation limitations, their use on mobile devices is less popular. In this work, we propose a Neural Implicit LUT (NILUT), an implicitly defined continuous 3D color transformation parameterized by a neural network. We show that NILUTs are capable of accurately emulating real 3D LUTs. Moreover, a NILUT can be extended to incorporate multiple styles into a single network with the ability to blend styles implicitly. Our novel approach is memory-efficient, controllable and can complement previous methods, including learned ISPs. | ||||
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AAAI | ||
| Notes | CIC; MACO | Approved | no | ||
| Call Number | Admin @ si @ CVB2024 | Serial | 3872 | ||
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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 | ||
| Call Number | ADAS @ adas @ LBV1999a | Serial | 3 | ||
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| Author | Xavier Roca; Jordi Vitria; Maria Vanrell; Juan J. Villanueva | ||||
| Title | Visual behaviours for binocular navigation with autonomous systems. | 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 | OR;ISE;CIC;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ RVV1999a | Serial | 13 | ||
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| Author | A. Pujol; Jordi Vitria; Petia Radeva; Xavier Binefa; Robert Benavente; Ernest Valveny; Craig Von Land | ||||
| Title | Real time pharmaceutical product recognition using color and shape indexing. | Type | Conference Article | ||
| Year | 1999 | Publication | Proceedings of the 2nd International Workshop on European Scientific and Industrial Collaboration (WESIC´99), Promotoring Advanced Technologies in Manufacturing. | Abbreviated Journal | |
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| Address | Wales | ||||
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| Notes | OR;MILAB;DAG;CIC;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ PVR1999 | Serial | 24 | ||
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| Author | Maria Vanrell; Jordi Vitria; Xavier Roca | ||||
| Title | A multidimensional scaling approach to explore the behavior of a texture perception algorithm. | Type | Journal Article | ||
| Year | 1997 | Publication | Machine Vision and Applications | Abbreviated Journal | |
| Volume | 9 | Issue | Pages | 262–271 | |
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| Notes | OR;ISE;CIC;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ VVR1997 | Serial | 35 | ||
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| Author | Xavier Roca; Jordi Vitria; Maria Vanrell; Juan J. Villanueva | ||||
| Title | Gaze control in a binocular robot systems | Type | Miscellaneous | ||
| Year | 1999 | Publication | Abbreviated Journal | ||
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| Address | Barcelona | ||||
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| Notes | OR;ISE;CIC;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ RVV1999b | Serial | 41 | ||
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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 | ||
| Call Number | ADAS @ adas @ LBV1999b | Serial | 45 | ||
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| Author | Robert Benavente; M.C. Olive; Maria Vanrell; Ramon Baldrich | ||||
| Title | Colour Perception: A Simple Method for Colour Naming. | Type | Miscellaneous | ||
| Year | 1999 | Publication | Abbreviated Journal | ||
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| Address | Girona | ||||
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| Notes | CIC | Approved | no | ||
| Call Number | CAT @ cat @ BOV1999 | Serial | 47 | ||
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| Author | Robert Benavente | ||||
| Title | Dealing with colour variability: application to a colour naming task | Type | Report | ||
| Year | 1999 | Publication | CVC Technical Report #32 | Abbreviated Journal | |
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| Address | CVC (UAB) | ||||
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| Notes | CIC | Approved | no | ||
| Call Number | CAT @ cat @ Ben1999 | Serial | 53 | ||
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| Author | Jordi Vitria; Petia Radeva; X. Binefa; A. Pujol; Ernest Valveny; Robert Benavente; Craig Von Land | ||||
| Title | Real time recognition of pharmaceutical products by subspace methods | Type | Report | ||
| Year | 1999 | Publication | CVC Technical Report #35 | Abbreviated Journal | |
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| Address | CVC (UAB) | ||||
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| Notes | OR;MILAB;DAG;CIC;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ VRB1999b | Serial | 54 | ||
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| Author | Ramon Baldrich | ||||
| Title | Perceptual approach to a computational colour-texture representation for surface inspection. | Type | Book Whole | ||
| Year | 2001 | Publication | PhD Thesis, Universitat Autonoma de Barcelona-CVC | Abbreviated Journal | |
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| Notes | CIC | Approved | no | ||
| Call Number | CAT @ cat @ Bal2001 | Serial | 73 | ||
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| Author | Robert Benavente; Maria Vanrell | ||||
| Title | A colour naming experiment | Type | Report | ||
| Year | 2001 | Publication | CVC Technical Report #56 | Abbreviated Journal | |
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| Address | CVC (UAB) | ||||
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| Notes | CIC | Approved | no | ||
| Call Number | CAT @ cat @ BeV2001 | Serial | 78 | ||
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| Author | O. Fors; Xavier Otazu; J. Nuñez | ||||
| Title | Fusion Mediante Wavelets de Imagenes Spot-pan y del Satelite Tailandes TMSAT. | Type | Miscellaneous | ||
| Year | 2001 | Publication | Teledeteccion, Medio Ambiente y Cambio Global, IX Congreso Nacional de Teledeteccion, 546–550. | Abbreviated Journal | |
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| Address | Lleida | ||||
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| Notes | CIC | Approved | no | ||
| Call Number | CAT @ cat @ FON2001 | Serial | 94 | ||
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