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Author |
Xim Cerda-Company; C. Alejandro Parraga; Xavier Otazu |
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Title |
Which tone-mapping is the best? A comparative study of tone-mapping perceived quality |
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Abstract |
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Year |
2014 |
Publication |
Perception |
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43 |
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106 |
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Abstract |
Perception 43 ECVP Abstract Supplement
High-dynamic-range (HDR) imaging refers to the methods designed to increase the brightness dynamic range present in standard digital imaging techniques. This increase is achieved by taking the same picture under dierent exposure values and mapping the intensity levels into a single image by way of a tone-mapping operator (TMO). Currently, there is no agreement on how to evaluate the quality
of dierent TMOs. In this work we psychophysically evaluate 15 dierent TMOs obtaining rankings based on the perceived properties of the resulting tone-mapped images. We performed two dierent experiments on a CRT calibrated display using 10 subjects: (1) a study of the internal relationships between grey-levels and (2) a pairwise comparison of the resulting 15 tone-mapped images. In (1) observers internally matched the grey-levels to a reference inside the tone-mapped images and in the real scene. In (2) observers performed a pairwise comparison of the tone-mapped images alongside the real scene. We obtained two rankings of the TMOs according their performance. In (1) the best algorithm
was ICAM by J.Kuang et al (2007) and in (2) the best algorithm was a TMO by Krawczyk et al (2005). Our results also show no correlation between these two rankings. |
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ECVP |
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NEUROBIT; 600.074 |
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no |
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Admin @ si @ CPO2014 |
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2527 |
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Author |
A. Martinez; Jordi Vitria |
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Title |
Designing and Implementing Real Walking Agents using Virtual Environments. |
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Year |
1996 |
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Applications of Artificial Intelligence |
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105-114 |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ MaV1995a |
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121 |
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Author |
V. Valev; Petia Radeva |
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Title |
Determining Structural Description by Boolean Formulas. |
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Book Chapter |
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Year |
1992 |
Publication |
Advances in Structural and Syntactic Pattern Recognition |
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5 |
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131–140 |
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Pattern recognition is an active area of research with many applications, some of which have reached commercial maturity. Structural and syntactic methods are very powerful. They are based on symbolic data structures together with matching, parsing, and reasoning procedures that are able to infer interpretations of complex input patterns.
This book gives an overview of the latest developments and achievements in the field. |
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World Scientific |
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H. Bunke |
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Machine Perception and Artificial Intelligence: |
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978-981-279-791-9 |
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MILAB |
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no |
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BCNPCL @ bcnpcl @ VaR1992c |
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254 |
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Author |
Josep Llados; Ernest Valveny; Enric Marti |
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Title |
Symbol Recognition in Document Image Analysis: Methods and Challenges |
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Book Chapter |
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2000 |
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Recent Research Developments in Pattern Recognition, Transworld Research Network, |
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1 |
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151–178. |
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81-86846-61-1 |
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DAG;IAM |
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no |
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IAM @ iam @ LVM2000 |
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1575 |
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Author |
Juan Ramon Terven Salinas; Joaquin Salas; Bogdan Raducanu |
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Title |
Robust Head Gestures Recognition for Assistive Technology |
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Book Chapter |
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Year |
2014 |
Publication |
Pattern Recognition |
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Volume |
8495 |
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152-161 |
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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 |
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LNCS |
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0302-9743 |
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978-3-319-07490-0 |
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LAMP; |
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no |
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Admin @ si @ TSR2014b |
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2505 |
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Author |
Fadi Dornaika; Bogdan Raducanu; Alireza Bosaghzadeh |
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Title |
Facial expression recognition based on multi observations with application to social robotics |
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Book Chapter |
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Year |
2015 |
Publication |
Emotional and Facial Expressions: Recognition, Developmental Differences and Social Importance |
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153-166 |
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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 |
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Editor |
Bruce Flores |
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LAMP; |
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no |
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Admin @ si @ DRB2015 |
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2720 |
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Author |
Antonio Lopez; Jiaolong Xu; Jose Luis Gomez; David Vazquez; German Ros |
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Title |
From Virtual to Real World Visual Perception using Domain Adaptation -- The DPM as Example |
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Book Chapter |
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2017 |
Publication |
Domain Adaptation in Computer Vision Applications |
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13 |
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243-258 |
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Domain Adaptation |
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Abstract |
Supervised learning tends to produce more accurate classifiers than unsupervised learning in general. This implies that training data is preferred with annotations. When addressing visual perception challenges, such as localizing certain object classes within an image, the learning of the involved classifiers turns out to be a practical bottleneck. The reason is that, at least, we have to frame object examples with bounding boxes in thousands of images. A priori, the more complex the model is regarding its number of parameters, the more annotated examples are required. This annotation task is performed by human oracles, which ends up in inaccuracies and errors in the annotations (aka ground truth) since the task is inherently very cumbersome and sometimes ambiguous. As an alternative we have pioneered the use of virtual worlds for collecting such annotations automatically and with high precision. However, since the models learned with virtual data must operate in the real world, we still need to perform domain adaptation (DA). In this chapter we revisit the DA of a deformable part-based model (DPM) as an exemplifying case of virtual- to-real-world DA. As a use case, we address the challenge of vehicle detection for driver assistance, using different publicly available virtual-world data. While doing so, we investigate questions such as: how does the domain gap behave due to virtual-vs-real data with respect to dominant object appearance per domain, as well as the role of photo-realism in the virtual world. |
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Springer |
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Editor |
Gabriela Csurka |
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Notes |
ADAS; 600.085; 601.223; 600.076; 600.118 |
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no |
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ADAS @ adas @ LXG2017 |
Serial |
2872 |
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Author |
Marçal Rusiñol; Josep Llados |
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Title |
Flowchart Recognition in Patent Information Retrieval |
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Book Chapter |
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Year |
2017 |
Publication |
Current Challenges in Patent Information Retrieval |
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37 |
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351-368 |
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Springer Berlin Heidelberg |
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M. Lupu; K. Mayer; N. Kando; A.J. Trippe |
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DAG; 600.097; 600.121 |
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no |
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Admin @ si @ RuL2017 |
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2896 |
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Author |
H. Martin Kjer; Jens Fagertun; Sergio Vera; Debora Gil |
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Title |
Medial structure generation for registration of anatomical structures |
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2017 |
Publication |
Skeletonization, Theory, Methods and Applications |
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11 |
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IAM; 600.096; 600.075; 600.145 |
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Admin @ si @ MFV2017a |
Serial |
2935 |
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Author |
Maryam Asadi-Aghbolaghi; Albert Clapes; Marco Bellantonio; Hugo Jair Escalante; Victor Ponce; Xavier Baro; Isabelle Guyon; Shohreh Kasaei; Sergio Escalera |
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Title |
Deep Learning for Action and Gesture Recognition in Image Sequences: A Survey |
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Book Chapter |
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Year |
2017 |
Publication |
Gesture Recognition |
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539-578 |
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Action recognition; Gesture recognition; Deep learning architectures; Fusion strategies |
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Abstract |
Interest in automatic action and gesture recognition has grown considerably in the last few years. This is due in part to the large number of application domains for this type of technology. As in many other computer vision areas, deep learning based methods have quickly become a reference methodology for obtaining state-of-the-art performance in both tasks. This chapter is a survey of current deep learning based methodologies for action and gesture recognition in sequences of images. The survey reviews both fundamental and cutting edge methodologies reported in the last few years. We introduce a taxonomy that summarizes important aspects of deep learning for approaching both tasks. Details of the proposed architectures, fusion strategies, main datasets, and competitions are reviewed. Also, we summarize and discuss the main works proposed so far with particular interest on how they treat the temporal dimension of data, their highlighting features, and opportunities and challenges for future research. To the best of our knowledge this is the first survey in the topic. We foresee this survey will become a reference in this ever dynamic field of research. |
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HUPBA; no proj |
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no |
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Admin @ si @ ACB2017a |
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2981 |
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Author |
A. Sanfeliu; Juan J. Villanueva; Jordi Vitria |
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Title |
Image Analysis and Pattern Recognition. |
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1997 |
Publication |
Image Analysis and Pattern Recognition. |
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OR;MV |
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BCNPCL @ bcnpcl @ SVV1997 |
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56 |
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Author |
Javier Varona |
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Title |
Seguimiento visual robusto en entornos complejos |
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2001 |
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PhD Thesis |
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Admin @ si @ Var2001 |
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214 |
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Author |
Jordi Vitria; Petia Radeva; X. Binefa |
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Title |
EigenHistograms: using low dimensional models of color distribution for real time object recognition |
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1999 |
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Computer Analysis of Images and Patterns |
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Ljubliana, Slovenia, Springer-Verlag |
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OR;MILAB;MV |
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BCNPCL @ bcnpcl @ VRB1999a |
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29 |
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Author |
D. Rincon; E. Frumento; M. Angel Viñas |
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Title |
Description of a teleconsultation platform and its interaction with access networks. |
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1999 |
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V Open European Summer School. 145–150. |
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Barcelona |
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ISE @ ise @ RFV1999 |
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32 |
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Author |
A. Pujol; Javier Varona; Joan Serrat |
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A machine vision system for the inspection of industrial sieves. |
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Conference Article |
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1997 |
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(SNRFAI’97) 7th Spanish National Symposium on Pattern Recognition and Image Analysis |
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ADAS |
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ADAS @ adas @ PVS1997 |
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33 |
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