Andrea Bottino

Andrea Bottino
Politecnico di Torino | polito · DAUIN - Department of Control and Computer Engineering

PhD

About

110
Publications
36,159
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1,168
Citations
Additional affiliations
January 1996 - July 2015
Politecnico di Torino
Position
  • Professor (Assistant)
September 1994 - March 1995
Eindhoven University of Technology
Position
  • MT student

Publications

Publications (110)
Chapter
Augmented Reality (AR) is an emerging technology that offers new and compelling design opportunities for Computer Supported Cooperative Work (CSCW). To foster collaboration and communication in AR-based CSCW, users should be able to understand how others interact with the shared environment. One of the most effective ways to support this awareness...
Conference Paper
Full-text available
Serious Games (SGs) are particularly suitable to foster collaboration in complex domains that challenge formal education approaches. However, their effectiveness depends on their features as much as on the ability to assess their impacts on players, and analysing collaboration in games remains by and large an open problem. Research has traditionall...
Article
In automated Visual GUI Testing (VGT) for Android devices, the available tools often suffer from low robustness to mobile fragmentation, leading to incorrect results when running the same tests on different devices. To soften these issues, we evaluate two feature matching-based approaches for widget detection in VGT scripts, which use, respectively...
Chapter
Full-text available
Developing complex problem-solving skills and attitudes to survive and thrive in our uncertain and unpredictable world requires engaging in meaningful activities within appropriately designed learning environments. Even though serious games have the potential to satisfy these needs, there is a specific demand for additional research tools that offe...
Article
Full-text available
Artificial intelligence has witnessed exponential growth in the past decade. Advances in computing power and the design of sophisticated artificial intelligence algorithms have enabled computers to outperform humans in a variety of tasks. Yet, artificial intelligence's path has never been smooth, having essentially fallen apart twice in its lifetim...
Preprint
The field of artificial intelligence (AI), regarded as one of the most enigmatic areas of science, has witnessed exponential growth in the past decade including a remarkably wide array of applications, having already impacted our everyday lives. Advances in computing power and the design of sophisticated AI algorithms have enabled computers to outp...
Article
Event cameras are novel bio-inspired sensors, which asynchronously capture pixel-level intensity changes in the form of “events”. The innovative way they acquire data presents several advantages over standard devices, especially in poor lighting and high-speed motion conditions. However, the novelty of these sensors results in the lack of a large a...
Conference Paper
Full-text available
Nowadays, the programs of Education for Sustainable Development (ESD) are designed for changing attitudes on environmental, economic, and social dimensions. In this context, and considering the varied ages of the participating students, it is necessary to implement appropriate pedagogical methods that are generally different from the traditional on...
Chapter
Effective communication is a crucial skill for healthcare providers since it leads to better patient health, satisfaction and avoids malpractice claims. In standard medical education, students’ communication skills are trained with role-playing and Standardized Patients (SPs), i.e., actors. However, SPs are difficult to standardize, and are very re...
Conference Paper
Full-text available
Effective communication is a crucial skill for healthcare providers since it leads to better patient health, satisfaction and avoids malpractice claims. In standard medical education, students' communication skills are trained with role-playing and Standardized Patients (SPs), i.e., actors. However, SPs are difficult to standardize, and are very re...
Preprint
Full-text available
Effective communication is a crucial skill for healthcare providers since it leads to better patient health, satisfaction and avoids malpractice claims. In standard medical education, students' communication skills are trained with role-playing and Standardized Patients (SPs), i.e., actors. However, SPs are difficult to standardize, and are very re...
Preprint
Event cameras are novel bio-inspired sensors, which asynchronously capture pixel-level intensity changes in the form of "events". The innovative way they acquire data presents several advantages over standard devices, especially in poor lighting and high-speed motion conditions. However, the novelty of these sensors results in the lack of a large a...
Article
Full-text available
Face recognition approaches, especially those based on deep learning models, are becoming increasingly attractive for missing person identification, due to their effectiveness and the relative simplicity of obtaining information available for comparison. However, these methods still suffer from large accuracy drops when they have to tackle cross-ag...
Article
In recent years, the analysis of the community response in case of disastrous events has become a research topic of paramount relevance due to the increasing number of calamities like flooding, hurricanes, and earthquakes. In particular, the possibility to use computer simulations to model and study the behavior of thousands of people during an eme...
Chapter
In recent years, there has been an increasing interest in Industrial Augmented Reality (IAR) due to its prominent role in the ongoing revolution known as Industry 4.0. For companies and industries it is essential to evaluate carefully which of the developed AR-based technologies to adopt, and when, for tasks such as training, maintenance, assistanc...
Article
Background: Basic life support (BLS) is crucial in the emergency response system, as sudden cardiac arrest is still a major cause of death worldwide. Unfortunately, only a minority of victims receive cardiopulmonary resuscitation (CPR) from bystanders. In this context, training could be helpful to save more lives, and technology-enhanced BLS simul...
Article
Full-text available
Nowadays, deep learning is the fastest growing research field in machine learning and has a tremendous impact on a plethora of daily life applications, ranging from security and surveillance to autonomous driving, automatic indexing and retrieval of media content, text analysis, speech recognition, automatic translation, and many others.[...]
Preprint
Full-text available
Wearable cameras are becoming more and more popular in several applications, increasing the interest of the research community in developing approaches for recognizing actions from a first-person point of view. An open challenge is how to cope with the limited amount of motion information available about the action itself, as opposed to the more in...
Article
In case of cardiac arrest, prompt intervention of bystanders can be vital in saving lives. Basic Life Support and Defibrillation (BLSD) is a procedure designed to deliver a proficient emergency first response. Developing skills in BLSD in a large part of the population is a primary educational goal of resuscitation medicine. In this context, novel...
Preprint
BACKGROUND Being sudden cardiac arrest still a major cause of death, basic life support with defibrillation (BLSD) is crucial in the emergency response system. Unfortunately, only a minority of victims receive bystanders cardiopulmonary resuscitation (CPR). In this context, training could be helpful to save more lives and technology-enhanced simula...
Chapter
Full-text available
Fingerprint based biometric identification systems are vulnerable to spoofing attacks that involve the use of fake replicas of real fingerprints. The resulting security issues can be mitigated through the development of software modules capable of detecting the liveness of an input image and, thus, of discarding fake fingerprints before the classif...
Article
Finding proper ways to address learning about sustainability is a relevant issue. Sustainability learning has to face some inherent complexities, due to two main factors: a) the interdisciplinary domains related to sustainability issues, such as ecology, economics, politics and culture, and b) the involvement of several social structures, such as i...
Conference Paper
Full-text available
Project Objective Providing an effective cognitive aid to both lay people and healthcare providers in Basic Life Support and Defibrillation (BLSD) procedures is a relevant educational goal in resuscitation 1. A self-instruction learning simulation program was developed to maximize learning results, helping to enhance motor skills and the retention...
Conference Paper
Full-text available
Educational games are praised for their potential in providing engaging and self motivating learning experiences. However, in order to fully leverage those capabilities, game designers have to carefully balance factors that provide an enjoyable experience, without losing the focus on the instructional aspect. This work examines the design and evalu...
Conference Paper
Recent research in the digital learning game area strives for defining a solid grounding methodology, capable of driving the game design process towards the maximization of the intended educational results. In this work, we investigate the mix of tangible interaction, immersive environments, collaborative multiplay and validated theoretical backgro...
Article
Full-text available
Spoofing attacks carried out using artificial replicas are a severe threat for fingerprint based biometric systems and, thus, require the development of effective countermeasures. One possible protection method is to implement software modules that analyze fingerprint images to tell live from fake samples. Most of the static software–based approach...
Conference Paper
In spite of recent efforts, there is still a demand for tools facilitating sustainability instruction. To this end, serious games offer remarkable possibilities to foster learning in this area. However, evidences suggest that these potentialities have not been fully leveraged yet. In particular, it is challenging to design games representing the di...
Article
The development of intelligent transportation systems requires the availability of both accurate traffic information in real time and a cost-effective solution. In this paper, we describe Street Viewer, a system capable of analyzing the traffic behavior in different scenarios from images taken with an off-the-shelf optical camera. Street Viewer ope...
Article
In the last few years, Multitouch and Tangible User Interfaces have emerged as a powerful tool to integrate interactive surfaces and responsive spaces that embody digital information. Besides providing a natural interaction with digital contents, they allow the interaction of multiple users at the same time, thus promoting collaborative activities...
Article
Background and objectives: The automated analysis of indirect immunofluorescence images for Anti-Nuclear Autoantibody (ANA) testing is a fairly recent field that is receiving ever-growing interest from the research community. ANA testing leverages on the categorization of intensity level and fluorescent pattern of IIF images of HEp-2 cells to perf...
Article
Automatic Kinship verification aims at recognizing the degree of kinship of two individuals from their facial images and it has possible applications in image retrieval and annotation, forensics and historical studies. This is a recent and challenging problem, which must deal with different degrees of kinship and variations in age and gender. Our w...
Conference Paper
Full-text available
In the last decades, the amount of space debris in Earth orbit, from spent rocket stages to broken satellites, is constantly growing up. This is a relevant issue, since space junk hampers the access road to space and raises collision threats. Some countries have already identified as unavoidable solution the complete stop of future launches of sate...
Conference Paper
Full-text available
Fingerprint recognition systems, as any other biometric system, can be subject to attacks, which are usually carried out using artificial fingerprints. Several approaches to discriminate between live and fake fingerprint images have been presented to address this issue. These methods usually rely on the analysis of individual features extracted fro...
Conference Paper
Full-text available
The use of unmanned aerial vehicles (UAVs) in civil aviation is growing up quickly, enabling new scenarios, especially in environmental monitoring and public surveillance services. So far, Earth observation has been carried out only by satellite images, which are limited in resolution and suffer from important barriers such as cloud occlusion. Micr...
Conference Paper
Full-text available
The aim of the Kinship Verification in the Wild Evaluation (held in conjunction with the 2015 IEEE International Conference on Automatic Face and Gesture Recognition, Ljubljana, Slovenia) was to evaluate different kinship verification algorithms. For this task, two datasets were made available and three possible experimental protocols (unsupervised...
Conference Paper
The automatic verification of kinship is a challenging problem that recently attracted much interest from the research community. It consists in telling whether two individuals are related or not, based on the analysis of their facial images. This is a challenging task since it has to deal with differences in race, gender and age between subjects....
Article
The construction, negotiation and dissemination of cultural heritage in the digital era can take advantage of several approaches, including Virtual Reality (VR). Leveraging on the provision of contextualized multimedia content, VR can foster awareness about the histories of specific times and places, encouraging personal interpretative processes. T...
Conference Paper
Full-text available
Kinship verification from facial images in wild conditions is a relatively new and challenging problem in face analysis. Several datasets and algorithms have been proposed in recent years. However, most existing datasets are of small sizes and one standard evaluation protocol is still lack so that it is difficult to compare the performance of diffe...
Article
The human face conveys to other human beings, and potentially to computer systems, information such as identity, intentions, emotional and health states, attractiveness, age, gender and ethnicity. In most cases analyzing this information involves the computer science as well as the human and medical sciences. The most studied multidisciplinary prob...
Data
SiblingsDB - dataset of both high and low quality of (frontal, profile, smiling and expressionless) images of sibling pairs. Facial landmarks are available for all images. The high quality images are annotated for age and the human panel judgements about pairs of images (i.e., if the pair represent a sibling couple or not) are available as well. To...
Conference Paper
Full-text available
Emulating human behaviour is a very desirable characteristic for virtual agents. There is plenty of literature that focuses on a single specific aspect of human behaviour emulation, but it is quite rare to find a collection of implementations encompassing several aspects of the problem. In this work we present VIRTUAL-ME (VIRTUal Agent Library for...
Article
Full-text available
Background This study tested the validity of, and describes, a novel method of constructing an average morphology of the dental arch. Methods Upper dental arches of adult patients with a sound full permanent dentition were selected for the study. Laser-scanned images of the dental casts were obtained with an optical laser scanning device. The scan...
Article
Indoor GPS navigation is unreliable owing to poor communication with satellites and a lack of detailed maps. The authors discuss technologies that offer accurate indoor location and orientation data, presenting their system for indoor navigation, which runs on a smartphone. The Web extra at http://youtu.be/cfOSNjyD15A illustrates the prototypal sys...
Article
The categorization of different staining patterns in HEp-2 cell slides by means of indirect immunofluorescence (IIF) is important for the differential diagnosis of autoimmune diseases. The clinical practice usually relies on the visual evaluation of the slides, which is timeconsuming and subject to the specialist’s experience. Thus, there is a grow...
Article
Full-text available
In recent years there has been a growing interest in the use of multimedia mobile guides in museum environments. Mobile devices have the capabilities to detect the user context and to provide pieces of information suitable to help visitors discover and follow the logical and emotional connections that develop during the visit. In this scenario, loc...
Article
In everyday life, face similarity is an important kinship clue. Computer algorithms able to infer kinship from pairs of face images could be applied in forensics, image retrieval and annotation, and historical studies. So far, little work in this area has been presented, and only one study, using a small set of low quality images, tackles the probl...
Conference Paper
The automatic identification of kinship relations from pairs of facial images is an emerging research area in pattern analysis with possible applications in image retrieval and annotation, forensics and historical studies. This work explores the computer identification of pairs of kins using different facial features, based on geometric and textura...
Article
Anti-nuclear antibodies test is based on the visual evaluation of the intensity and staining pattern in HEp-2 cell slides by means of indirect immunofluorescence (IIF) imaging, revealing the presence of autoantibodies responsible for important immune pathologies. In particular, the categorization of the staining pattern is crucial for differential...
Article
Full-text available
In this paper, we outline the functionalities of a system that integrates and controls a fleet of Unmanned Aircraft Vehicles (UAVs). UAVs have a set of payload sensors employed for territorial surveillance, whose outputs are stored in the system and analysed by the data exploitation functions at different levels. In particular, we detail the second...
Article
Full-text available
Face plastic surgery (PS) plays a major role in today medicine. Both for reconstructive and cosmetic surgery, achieving harmony of facial features is an important, if not the major goal. Several systems have been proposed for presenting to patient and surgeon possible outcomes of the surgical procedure. In this paper, we present a new 3D system abl...
Conference Paper
Full-text available
The study of human attractiveness with pattern analysis techniques is an emerging research field. One still largely unresolved problem is which are the facial features relevant to attractiveness, how they combine together, and the number of independent parameters required for describing and identifying harmonious faces. In this paper, we present a...
Conference Paper
Full-text available
Human face conveys to other human beings, and potentially to computers, much information such as identity, emotional states, intentions, age and attractiveness. Among this information there are kinship clues. Face kinship signals, as well as the human capabilities of capturing them, are studied by psychologist and sociologists. In this paper we pre...
Conference Paper
Full-text available
The analysis of anti-nuclear antibodies in HEp-2 cells by indirect immunofluorescence (IIF) is fundamental for the diagnosis of important immune pathologies; in particular, classifying the staining pattern of the cell is critical for the differential diagnosis of several types of diseases. Current tests based on human evaluation are time-consuming...
Article
The problem of locating visual sensors can be often modelled as 2D Art Gallery problems. In particular, tasks such as surveillance require observing the interior of a polygonal environment (interior covering, IC), while for inspection or image based rendering observing the boundary (edge covering, EC) is sufficient. Both problems are NP-hard, and n...
Article
Rectilinear polygons are important in sensor location problems since they model the floor of many building. Tasks such as surveillance require observing the interior of a polygonal environment (interior covering, IC), while for inspection or image based rendering observing the boundary (edge covering, EC) is sufficient. In this note we analyse EC f...
Article
In this paper we present “Beyond the picture”, an interactive application developed for enjoying paintings by immersing visitors into them and exploiting natural interaction to navigate their contents. The visitor is provided with the capability to modify the viewpoint on the painting by changing its observation position. Visitor’s head movement ar...
Conference Paper
Full-text available
Much research presented recently supports the idea that the human perception of attractiveness is data-driven and largely irrespective of the perceiver. This suggests using pattern analysis techniques for beauty analysis. Several scientific papers on this subject are appearing in image processing, computer vision and pattern analysis contexts, or u...