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| Author | Cesar Isaza; Joaquin Salas; Bogdan Raducanu | ||||
| Title | Rendering ground truth data sets to detect shadows cast by static objects in outdoors | Type | Journal Article | ||
| Year | 2014 | Publication | Multimedia Tools and Applications | Abbreviated Journal | MTAP |
| Volume | 70 | Issue | 1 | Pages | 557-571 |
| Keywords | Synthetic ground truth data set; Sun position; Shadow detection; Static objects shadow detection | ||||
| Abstract | In our work, we are particularly interested in studying the shadows cast by static objects in outdoor environments, during daytime. To assess the accuracy of a shadow detection algorithm, we need ground truth information. The collection of such information is a very tedious task because it is a process that requires manual annotation. To overcome this severe limitation, we propose in this paper a methodology to automatically render ground truth using a virtual environment. To increase the degree of realism and usefulness of the simulated environment, we incorporate in the scenario the precise longitude, latitude and elevation of the actual location of the object, as well as the sun’s position for a given time and day. To evaluate our method, we consider a qualitative and a quantitative comparison. In the quantitative one, we analyze the shadow cast by a real object in a particular geographical location and its corresponding rendered model. To evaluate qualitatively the methodology, we use some ground truth images obtained both manually and automatically. | ||||
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Springer US | Place of Publication | Editor | ||
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| ISSN | 1380-7501 | ISBN | Medium | ||
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| Notes | LAMP; | Approved | no | ||
| Call Number | Admin @ si @ ISR2014 | Serial | 2229 | ||
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| Author | Juan Ramon Terven Salinas; Joaquin Salas; Bogdan Raducanu | ||||
| Title | Robust Head Gestures Recognition for Assistive Technology | Type | Book Chapter | ||
| Year | 2014 | Publication | Pattern Recognition | Abbreviated Journal | |
| Volume | 8495 | Issue | Pages | 152-161 | |
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| Abstract | This paper presents a system capable of recognizing six head gestures: nodding, shaking, turning right, turning left, looking up, and looking down. The main difference of our system compared to other methods is that the Hidden Markov Models presented in this paper, are fully connected and consider all possible states in any given order, providing the following advantages to the system: (1) allows unconstrained movement of the head and (2) it can be easily integrated into a wearable device (e.g. glasses, neck-hung devices), in which case it can robustly recognize gestures in the presence of ego-motion. Experimental results show that this approach outperforms common methods that use restricted HMMs for each gesture. | ||||
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Springer International Publishing | Place of Publication | Editor | ||
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| Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
| Series Volume | Series Issue | Edition | |||
| ISSN | 0302-9743 | ISBN | 978-3-319-07490-0 | Medium | |
| Area | Expedition | Conference | |||
| Notes | LAMP; | Approved | no | ||
| Call Number | Admin @ si @ TSR2014b | Serial | 2505 | ||
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| Author | Daniela Rato; Miguel Oliveira; Vitor Santos; Manuel Gomes; Angel Sappa | ||||
| Title | A sensor-to-pattern calibration framework for multi-modal industrial collaborative cells | Type | Journal Article | ||
| Year | 2022 | Publication | Journal of Manufacturing Systems | Abbreviated Journal | JMANUFSYST |
| Volume | 64 | Issue | Pages | 497-507 | |
| Keywords | Calibration; Collaborative cell; Multi-modal; Multi-sensor | ||||
| Abstract | Collaborative robotic industrial cells are workspaces where robots collaborate with human operators. In this context, safety is paramount, and for that a complete perception of the space where the collaborative robot is inserted is necessary. To ensure this, collaborative cells are equipped with a large set of sensors of multiple modalities, covering the entire work volume. However, the fusion of information from all these sensors requires an accurate extrinsic calibration. The calibration of such complex systems is challenging, due to the number of sensors and modalities, and also due to the small overlapping fields of view between the sensors, which are positioned to capture different viewpoints of the cell. This paper proposes a sensor to pattern methodology that can calibrate a complex system such as a collaborative cell in a single optimization procedure. Our methodology can tackle RGB and Depth cameras, as well as LiDARs. Results show that our methodology is able to accurately calibrate a collaborative cell containing three RGB cameras, a depth camera and three 3D LiDARs. | ||||
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Science Direct | Place of Publication | Editor | ||
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| Notes | MSIAU; MACO | Approved | no | ||
| Call Number | Admin @ si @ ROS2022 | Serial | 3750 | ||
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| Author | Fadi Dornaika; Bogdan Raducanu; Alireza Bosaghzadeh | ||||
| Title | Facial expression recognition based on multi observations with application to social robotics | Type | Book Chapter | ||
| Year | 2015 | Publication | Emotional and Facial Expressions: Recognition, Developmental Differences and Social Importance | Abbreviated Journal | |
| Volume | Issue | Pages | 153-166 | ||
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| Abstract | Human-robot interaction is a hot topic nowadays in the social robotics
community. One crucial aspect is represented by the affective communication which comes encoded through the facial expressions. In this chapter, we propose a novel approach for facial expression recognition, which exploits an efficient and adaptive graph-based label propagation (semi-supervised mode) in a multi-observation framework. The facial features are extracted using an appearance-based 3D face tracker, viewand texture independent. Our method has been extensively tested on the CMU dataset, and has been conveniently compared with other methods for graph construction. With the proposed approach, we developed an application for an AIBO robot, in which it mirrors the recognized facial expression. |
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Nova Science publishers | Place of Publication | Editor | Bruce Flores | |
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| Notes | LAMP; | Approved | no | ||
| Call Number | Admin @ si @ DRB2015 | Serial | 2720 | ||
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| Author | Maria Salamo; Sergio Escalera | ||||
| Title | Increasing Retrieval Quality in Conversational Recommenders | Type | Journal Article | ||
| Year | 2011 | Publication | IEEE Transactions on Knowledge and Data Engineering | Abbreviated Journal | TKDE |
| Volume | 99 | Issue | Pages | 1-1 | |
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| Abstract | IF JCR CCIA 2.286 2009 24/103
JCR Impact Factor 2010: 1.851 A major task of research in conversational recommender systems is personalization. Critiquing is a common and powerful form of feedback, where a user can express her feature preferences by applying a series of directional critiques over the recommendations instead of providing specific preference values. Incremental Critiquing is a conversational recommender system that uses critiquing as a feedback to efficiently personalize products. The expectation is that in each cycle the system retrieves the products that best satisfy the user’s soft product preferences from a minimal information input. In this paper, we present a novel technique that increases retrieval quality based on a combination of compatibility and similarity scores. Under the hypothesis that a user learns Turing the recommendation process, we propose two novel exponential reinforcement learning approaches for compatibility that take into account both the instant at which the user makes a critique and the number of satisfied critiques. Moreover, we consider that the impact of features on the similarity differs according to the preferences manifested by the user. We propose a global weighting approach that uses a common weight for nearest cases in order to focus on groups of relevant products. We show that our methodology significantly improves recommendation efficiency in four data sets of different sizes in terms of session length in comparison with state-of-the-art approaches. Moreover, our recommender shows higher robustness against noisy user data when compared to classical approaches |
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IEEE | Place of Publication | Editor | ||
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| ISSN | 1041-4347 | ISBN | Medium | ||
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| Notes | MILAB; HuPBA | Approved | no | ||
| Call Number | Admin @ si @ SaE2011 | Serial | 1713 | ||
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| Author | Jordi Vitria; Petia Radeva; X. Binefa | ||||
| Title | EigenHistograms: using low dimensional models of color distribution for real time object recognition | Type | Conference Article | ||
| Year | 1999 | Publication | Computer Analysis of Images and Patterns | Abbreviated Journal | |
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| Address | Ljubliana, Slovenia, Springer-Verlag | ||||
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| Notes | OR;MILAB;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ VRB1999a | Serial | 29 | ||
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| Author | D. Rincon; E. Frumento; M. Angel Viñas | ||||
| Title | Description of a teleconsultation platform and its interaction with access networks. | Type | Conference Article | ||
| Year | 1999 | Publication | V Open European Summer School. 145–150. | Abbreviated Journal | |
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| Address | Barcelona | ||||
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| Notes | Approved | no | |||
| Call Number | ISE @ ise @ RFV1999 | Serial | 32 | ||
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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 | Felipe Lumbreras; Joan Serrat | ||||
| Title | Segmentation of petrographical images of marbles | Type | Journal Article | ||
| Year | 1996 | Publication | Computers and Geosciences | Abbreviated Journal | |
| Volume | 22 | Issue | 5 | Pages | 547–558 |
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| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ LuS1996b | Serial | 82 | ||
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| Author | F. Moreso; D. Seron; Jordi Vitria; J.M. Grinyo; F.M. Colome-Serra; N. Pares; J.R. Serra | ||||
| Title | Quantification of Interstitial Chronic Renal Damage by means of Texture Analysis. | Type | Journal Article | ||
| Year | 1994 | Publication | Kidney International | Abbreviated Journal | |
| Volume | 46 | Issue | 6 | Pages | 1721-1727 |
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| Notes | OR;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ MSV1994 | Serial | 113 | ||
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| Author | A.F. Sole; S. Ngan; G. Sapiro; X. Hu; Antonio Lopez | ||||
| Title | Anisotropic 2-D and 3-D Averaging of fMRI Signals | Type | Journal Article | ||
| Year | 2001 | Publication | IEEE Transactions on Medical Imaging | Abbreviated Journal | |
| Volume | 2020 | Issue | 2 | Pages | 86-93 |
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| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ SNS2001 | Serial | 165 | ||
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| Author | A. Auge; Javier Varona; Juan J. Villanueva | ||||
| Title | Tumour Segmentation in Mammographies with Neural Networks. Application to Tumoural Volume Approximation. | Type | Conference Article | ||
| Year | 1997 | Publication | Proceedings of the VII NSPRIA, Vol. II, CVC–UAB | Abbreviated Journal | |
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| Call Number | ISE @ ise @ AVV1997 | Serial | 208 | ||
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| Author | M. Bressan; Jordi Vitria | ||||
| Title | Independent Component Analysis and Naïve Bayes Classification. | Type | Conference Article | ||
| Year | 2002 | Publication | Proceedings of the Second IASTED International Conference Visualilzation, Imaging and Image Proceesing VIIP 2002: 496–501. | Abbreviated Journal | |
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| Notes | OR;MV | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ BrV2002a | Serial | 288 | ||
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| Author | Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez | ||||
| Title | Rank Estimation in 3D Multibody Motion Segmentation | Type | Journal Article | ||
| Year | 2008 | Publication | Electronic Letters | Abbreviated Journal | |
| Volume | 44 | Issue | 4 | Pages | 279-280 |
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| Abstract | A novel technique for rank estimation in 3D multibody motion segmentation is proposed. It is based on the study of the frequency spectra of moving rigid objects and does not use or assume a prior knowledge of the objects contained in the scene (i.e. number of objects and motion). The significance of rank estimation on multibody motion segmentation results is shown by using two motion segmentation algorithms over both synthetic and real data. | ||||
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| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ JSL2008a | Serial | 939 | ||
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| Author | Joan Serrat; Ferran Diego; Felipe Lumbreras; Jose Manuel Alvarez; Antonio Lopez; C. Elvira | ||||
| Title | Dynamic Comparison of Headlights | Type | Journal Article | ||
| Year | 2008 | Publication | Journal of Automobile Engineering | Abbreviated Journal | |
| Volume | 222 | Issue | 5 | Pages | 643–656 |
| Keywords | video alignment | ||||
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| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ SDL2008a | Serial | 958 | ||
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