| Records |
| Author |
Javier Vazquez; C. Alejandro Parraga; Maria Vanrell |
| Title |
Ordinal pairwise method for natural images comparison |
Type |
Journal Article |
| Year |
2009 |
Publication |
Perception |
Abbreviated Journal |
PER |
| Volume |
38 |
Issue |
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Pages |
180 |
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| Abstract |
38(Suppl.)ECVP Abstract Supplement
We developed a new psychophysical method to compare different colour appearance models when applied to natural scenes. The method was as follows: two images (processed by different algorithms) were displayed on a CRT monitor and observers were asked to select the most natural of them. The original images were gathered by means of a calibrated trichromatic digital camera and presented one on top of the other on a calibrated screen. The selection was made by pressing on a 6-button IR box, which allowed observers to consider not only the most natural but to rate their selection. The rating system allowed observers to register how much more natural was their chosen image (eg, much more, definitely more, slightly more), which gave us valuable extra information on the selection process. The results were analysed considering both the selection as a binary choice (using Thurstone's law of comparative judgement) and using Bradley-Terry method for ordinal comparison. Our results show a significant difference in the rating scales obtained. Although this method has been used in colour constancy algorithm comparisons, its uses are much wider, eg to compare algorithms of image compression, rendering, recolouring, etc. |
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no |
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CAT @ cat @ VPV2009b |
Serial |
1191 |
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| Author |
Robert Benavente; C. Alejandro Parraga; Maria Vanrell |
| Title |
Colour categories boundaries are better defined in contextual conditions |
Type |
Journal Article |
| Year |
2009 |
Publication |
Perception |
Abbreviated Journal |
PER |
| Volume |
38 |
Issue |
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Pages |
36 |
| Keywords |
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| Abstract |
In a previous experiment [Parraga et al, 2009 Journal of Imaging Science and Technology 53(3)] the boundaries between basic colour categories were measured by asking subjects to categorize colour samples presented in isolation (ie on a dark background) using a YES/NO paradigm. Results showed that some boundaries (eg green – blue) were very diffuse and the subjects' answers presented bimodal distributions, which were attributed to the emergence of non-basic categories in those regions (eg turquoise). To confirm these results we performed a new experiment focussed on the boundaries where bimodal distributions were more evident. In this new experiment rectangular colour samples were presented surrounded by random colour patches to simulate contextual conditions on a calibrated CRT monitor. The names of two neighbouring colours were shown at the bottom of the screen and subjects selected the boundary between these colours by controlling the chromaticity of the central patch, sliding it across these categories' frontier. Results show that in this new experimental paradigm, the formerly uncertain inter-colour category boundaries are better defined and the dispersions (ie the bimodal distributions) that occurred in the previous experiment disappear. These results may provide further support to Berlin and Kay's basic colour terms theory. |
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CIC |
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no |
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CAT @ cat @ BPV2009 |
Serial |
1192 |
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| Author |
C. Alejandro Parraga; Javier Vazquez; Maria Vanrell |
| Title |
A new cone activation-based natural images dataset |
Type |
Journal Article |
| Year |
2009 |
Publication |
Perception |
Abbreviated Journal |
PER |
| Volume |
36 |
Issue |
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Pages |
180 |
| Keywords |
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| Abstract |
We generated a new dataset of digital natural images where each colour plane corresponds to the human LMS (long-, medium-, short-wavelength) cone activations. The images were chosen to represent five different visual environments (eg forest, seaside, mountain snow, urban, motorways) and were taken under natural illumination at different times of day. At the bottom-left corner of each picture there was a matte grey ball of approximately constant spectral reflectance (across the camera's response spectrum,) and nearly Lambertian reflective properties, which allows to compute (and remove, if necessary) the illuminant's colour and intensity. The camera (Sigma Foveon SD10) was calibrated by measuring its sensor's spectral responses using a set of 31 spectrally narrowband interference filters. This allowed conversion of the final camera-dependent RGB colour space into the Smith and Pokorny (1975) cone activation space by means of a polynomial transformation, optimised for a set of 1269 Munsell chip reflectances. This new method is an improvement over the usual 3 × 3 matrix transformation which is only accurate for spectrally-narrowband colours. The camera-to-LMS transformation can be recalculated to consider other non-human visual systems. The dataset is available to download from our website. |
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CIC |
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no |
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CAT @ cat @ PVV2009 |
Serial |
1193 |
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| Author |
Fahad Shahbaz Khan; Joost Van de Weijer; Maria Vanrell |
| Title |
Top-Down Color Attention for Object Recognition |
Type |
Conference Article |
| Year |
2009 |
Publication |
12th International Conference on Computer Vision |
Abbreviated Journal |
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Issue |
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Pages |
979 - 986 |
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| Abstract |
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. |
| Address |
Kyoto, Japan |
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Edition |
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| ISSN |
1550-5499 |
ISBN |
978-1-4244-4420-5 |
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Conference |
ICCV |
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CIC |
Approved |
no |
| Call Number |
CAT @ cat @ SWV2009 |
Serial |
1196 |
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| Author |
Naila Murray |
| Title |
Perceptual Feature Detection |
Type |
Report |
| Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
131 |
Issue |
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Pages |
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| Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
| Publisher |
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Place of Publication |
Bellaterra, Barcelona |
Editor |
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CIC |
Approved |
no |
| Call Number |
Admin @ si @ Mur2009 |
Serial |
2390 |
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| Author |
David Augusto Rojas |
| Title |
Colouring Local Feature Detection for Matching |
Type |
Report |
| Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
133 |
Issue |
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Pages |
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| Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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Place of Publication |
Bellaterra, Barcelona |
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CIC |
Approved |
no |
| Call Number |
Admin @ si @ Roj2009 |
Serial |
2392 |
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| Author |
Olivier Penacchio |
| Title |
Relative Density of L, M, S photoreceptors in the Human Retina |
Type |
Report |
| Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
135 |
Issue |
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Pages |
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| Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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Place of Publication |
Bellaterra, Barcelona |
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CIC |
Approved |
no |
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Admin @ si @ Pen2009 |
Serial |
2394 |
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| Author |
Xavier Boix |
| Title |
Learning Conditional Random Fields for Stereo |
Type |
Report |
| Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
136 |
Issue |
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Pages |
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| Abstract |
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| Address |
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| Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
| Publisher |
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Place of Publication |
Bellaterra, Barcelona |
Editor |
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| Notes |
CIC |
Approved |
no |
| Call Number |
Admin @ si @ Boi2009 |
Serial |
2395 |
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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 |
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| Volume |
137 |
Issue |
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Pages |
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Computer Vision Center |
Thesis |
Master's thesis |
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Place of Publication |
Bellaterra, Barcelona |
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CIC |
Approved |
no |
| Call Number |
Admin @ si @ Bei2009 |
Serial |
2396 |
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| Author |
Jose Carlos Rubio |
| Title |
Graph matching based on graphical models with application to vehicle tracking and classification at night |
Type |
Report |
| Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
144 |
Issue |
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Pages |
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| Abstract |
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| Corporate Author |
Computer Vision Center |
Thesis |
Master's thesis |
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Place of Publication |
Bellaterra, Barcelona |
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CIC |
Approved |
no |
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Admin @ si @ Rub2009 |
Serial |
2398 |
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| Author |
Arjan Gijsenij; Theo Gevers; Joost Van de Weijer |
| Title |
Physics-based Edge Evaluation for Improved Color Constancy |
Type |
Conference Article |
| Year |
2009 |
Publication |
22nd IEEE Conference on Computer Vision and Pattern Recognition |
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Issue |
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Pages |
581 – 588 |
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| Abstract |
Edge-based color constancy makes use of image derivatives to estimate the illuminant. However, different edge types exist in real-world images such as shadow, geometry, material and highlight edges. These different edge types may have a distinctive influence on the performance of the illuminant estimation. |
| Address |
Miami, USA |
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Edition |
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| ISSN |
1063-6919 |
ISBN |
978-1-4244-3992-8 |
Medium |
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Conference |
CVPR |
| Notes |
CAT;ISE |
Approved |
no |
| Call Number |
CAT @ cat @ GGW2009 |
Serial |
1197 |
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| Author |
Jose Manuel Alvarez; Theo Gevers; Antonio Lopez |
| Title |
Learning Photometric Invariance from Diversified Color Model Ensembles |
Type |
Conference Article |
| Year |
2009 |
Publication |
22nd IEEE Conference on Computer Vision and Pattern Recognition |
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Issue |
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Pages |
565–572 |
| Keywords |
road detection |
| Abstract |
Color is a powerful visual cue for many computer vision applications such as image segmentation and object recognition. However, most of the existing color models depend on the imaging conditions affecting negatively the performance of the task at hand. Often, a reflection model (e.g., Lambertian or dichromatic reflectance) is used to derive color invariant models. However, those reflection models might be too restricted to model real-world scenes in which different reflectance mechanisms may hold simultaneously. Therefore, in this paper, we aim to derive color invariance by learning from color models to obtain diversified color invariant ensembles. First, a photometrical orthogonal and non-redundant color model set is taken on input composed of both color variants and invariants. Then, the proposed method combines and weights these color models to arrive at a diversified color ensemble yielding a proper balance between invariance (repeatability) and discriminative power (distinctiveness). To achieve this, the fusion method uses a multi-view approach to minimize the estimation error. In this way, the method is robust to data uncertainty and produces properly diversified color invariant ensembles. Experiments are conducted on three different image datasets to validate the method. From the theoretical and experimental results, it is concluded that the method is robust against severe variations in imaging conditions. The method is not restricted to a certain reflection model or parameter tuning. Further, the method outperforms state-of- the-art detection techniques in the field of object, skin and road recognition. |
| Address |
Miami (USA) |
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Edition |
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1063-6919 |
ISBN |
978-1-4244-3992-8 |
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Conference |
CVPR |
| Notes |
ADAS;ISE |
Approved |
no |
| Call Number |
ADAS @ adas @ AGL2009 |
Serial |
1169 |
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| Author |
Xavier Boix; Josep M. Gonfaus; Fahad Shahbaz Khan; Joost Van de Weijer; Andrew Bagdanov; Marco Pedersoli; Jordi Gonzalez; Joan Serrat |
| Title |
Combining local and global bag-of-word representations for semantic segmentation |
Type |
Conference Article |
| Year |
2009 |
Publication |
Workshop on The PASCAL Visual Object Classes Challenge |
Abbreviated Journal |
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Pages |
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Kyoto (Japan) |
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Conference |
ICCV |
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ADAS;ISE |
Approved |
no |
| Call Number |
ADAS @ adas @ BGS2009 |
Serial |
1273 |
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| Author |
David Vazquez; David Geronimo; Antonio Lopez |
| Title |
The effect of the distance in pedestrian detection |
Type |
Report |
| Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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| Volume |
149 |
Issue |
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Pages |
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Pedestrian Detection |
| Abstract |
Pedestrian accidents are one of the leading preventable causes of death. In order to reduce the number of accidents, in the last decade the pedestrian protection systems have been introduced, a special type of advanced driver assistance systems, in witch an on-board camera explores the road ahead for possible collisions with pedestrians in order to warn the driver or perform braking actions. As a result of the variability of the appearance, pose and size, pedestrian detection is a very challenging task. So many techniques, models and features have been proposed to solve the problem. As the appearance of pedestrians varies signi cantly as a function of distance, a system based on multiple classi ers specialized on diferent depths is likely to improve the overall performance with respect to a typical system based on a general detector. Accordingly, the main aim of this work is to explore the e ect of the distance in pedestrian detection. We have evaluated three pedestrian detectors (HOG, HAAR and EOH) in two di erent databases (INRIA and Daimler09) for two di erent sizes (small and big). By a extensive set of experiments we answer to questions like which datasets and evaluation methods are the most adequate, which is the best method for each size of the pedestrians and why or how do the method optimum parameters vary with respect to the distance |
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Thesis |
Master's thesis |
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M.Sc. |
| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ VGL2009 |
Serial |
1669 |
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| Author |
Fadi Dornaika; Angel Sappa |
| Title |
Instantaneous 3D motion from image derivatives using the Least Trimmed Square Regression |
Type |
Journal Article |
| Year |
2009 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
| Volume |
30 |
Issue |
5 |
Pages |
535–543 |
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| Abstract |
This paper presents a new technique to the instantaneous 3D motion estimation. The main contributions are as follows. First, we show that the 3D camera or scene velocity can be retrieved from image derivatives only assuming that the scene contains a dominant plane. Second, we propose a new robust algorithm that simultaneously provides the Least Trimmed Square solution and the percentage of inliers-the non-contaminated data. Experiments on both synthetic and real image sequences demonstrated the effectiveness of the developed method. Those experiments show that the new robust approach can outperform classical robust schemes. |
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Elsevier Science Inc. |
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0167-8655 |
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ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ DoS2009a |
Serial |
1115 |
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