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Advances in multispectral and hyperspectral imaging for archaeology and art conservation

Multispectral imaging has been applied to the field of art conservation and art history since the early 1990s. It is attractive as a noninvasive imaging technique because it is fast and hence capable of imaging large areas of an object giving both spatial and spectral information. This paper gives an overview of the different instrumental designs, image processing techniques and various applications of multispectral and hyperspectral imaging to art conservation, art history and archaeology. Recent advances in the development of remote and versatile multispectral and hyperspectral imaging as well as techniques in pigment identification will be presented. Future prospects including combination of spectral imaging with other noninvasive imaging and analytical techniques will be discussed

Features descriptors for demographic estimation: A comparative study

Estimation of demographic information from video sequence with people is a topic of growing interest in the last years. Indeed automatic estimation of audience statistics in digital signage as well as the human interaction in social robotic environment needs of increasingly robust algorithm for gender, race and age classification. In the present paper some of the state of the art features descriptors and sub space reduction approaches for gender, race and age group classification in video/image input are analyzed. Moreover a wide discussion about the influence of dataset distribution, balancing and cardinality is shown. The aim of our work is to investigate the best solution for each classification problem both in terms of estimation approach and dataset training. Additionally the computational problem it considered and discussed in order to contextualize the topic in a practical environment

A Workflow Management System for Ontology Engineering

The Semantic Web approach based on the ontological representation of knowledge domains seems very useful for improving document management practices, the formal and machine-mediated communication among people and work team and supports knowledge based productive processes. The effectiveness of a semantic information management system is set by the quality of the ontology. The development of ontologies requires experts on the application domain and on the technical issues as representation formalism, languages, and tools. In this chapter a methodology for ontology developing is presented. It is structured in six phases (feasibility study, expliciting of the knowledge base, logic modelling, implementation, test, extension, and maintaining) and highlights the flow of information among phases and activities, the external variables required for completing the project, the human and structural re- sources involved in the process. The defined methodology is independent of any particular knowledge field, so it can be used whenever an ontology is required. The methodology for ontology developing was implemented in a prototypal workflow management system that will be deployed in the back office area of the SIMS (Semantic Information Management System), a technological platform that is going to be developed for the research project DISCoRSO founded by the Italian Minister of University and Research. The main components of the workflow management system are the editor and the runtime environment. The Enhydra JaWE and Enhydra Shark are well suited as they implement the workflow management standards (languages), they are able to manage complex projects (many tasks, activities, people) and they are open sourc

A scanning device for multi-spectral imaging of paintings

We present a scanning device for 32-band multi-spectral imaging of paintings in the 380-800 nm spectral region. The system is based on contact-less and single-point measurement of the spectral reflectance factor. Multi-spectral images are obtained by scanning the painted surface under investigation. An adjustment procedure was established and calibration was performed by means of a set of seven matt ceramic color tiles certified by National Physical Laboratory (UK). Colorimetric calculations were carried out in the XYZ colorimetric space, by following the CIE recommendations and choosing the D65 standard illuminant and the 1931 standard observer.Measurement campaigns were carried out on several paintings in situ and at the INOA Optical Metrology Laboratory located inside the Opificio delle Pietre Dure in Florence. As an example we report herein on the measurements carried out on the Madonna in gloria tra Santi by Andrea Mantegna, (at present in the Pinacoteque of the Castello Sforzesco in Milan). Multivariate image analyses (MIA) were performed by considering the multi-spectral images as three-way data set. The stack of detected images were unfolded in a 2D data matrix and analyzed by the conventional Principal Component Analysis (PCA)

Multispectral imaging of paintings: Instrument and applications

In this paper we present a scanning device for multispectral imaging of paintings in the 380-800 nm spectral region; the system is based on a spectrophotometer for contact-less single-point measurements of the spectral reflectance with 10 nm resolution. Two orthogonal XY translation stages allow to scan up to 1,5 m(2) with spatial resolution up to 8 dots/mm. As an application we present the results of the measurements carried Out on Ritratto Trivulzio by Antonello da Messina and Madonna in gloria tra Santi by Andrea Mantegna. Besides spectra comparison also multivariate image analyses (MIA) have been performed by considering the multi-spectral images as three-way data set.In order to point out the slight spectral differences of two areas of a painting we analyzed its multispectral data cube by means of the Principal Component Analysis (PCA) and the K-Nearest-Neighbouring Cluster Analysis (KNN)

Emotional Expression in Children With ASD: A Pre-Study on a Two-Group Pre-Post-Test Design Comparing Robot-Based and Computer-Based Training

Several studies have found a delay in the development of facial emotion recognition and expression in children with an autism spectrum condition (ASC). Several interventions have been designed to help children to fill this gap. Most of them adopt technological devices (i.e., robots, computers, and avatars) as social mediators and reported evidence of improvement. Few interventions have aimed at promoting emotion recognition and expression abilities and, among these, most have focused on emotion recognition. Moreover, a crucial point is the generalization of the ability acquired during treatment to naturalistic interactions. This study aimed to evaluate the effectiveness of two technological-based interventions focused on the expression of basic emotions comparing a robot-based type of training with a “hybrid” computer-based one. Furthermore, we explored the engagement of the hybrid technological device introduced in the study as an intermediate step to facilitate the generalization of the acquired competencies in naturalistic settings. A two-group pre-post-test design was applied to a sample of 12 children (M = 9.33; ds = 2.19) with autism. The children were included in one of the two groups: group 1 received a robot-based type of training (n = 6); and group 2 received a computer-based type of training (n = 6). Pre- and post-intervention evaluations (i.e., time) of facial expression and production of four basic emotions (happiness, sadness, fear, and anger) were performed. Non-parametric ANOVAs found significant time effects between pre- and post-interventions on the ability to recognize sadness [t(1) = 7.35, p = 0.006; pre: M (ds) = 4.58 (0.51); post: M (ds) = 5], and to express happiness [t(1) = 5.72, p = 0.016; pre: M (ds) = 3.25 (1.81); post: M (ds) = 4.25 (1.76)], and sadness [t(1) = 10.89, p < 0; pre: M (ds) = 1.5 (1.32); post: M (ds) = 3.42 (1.78)]. The group*time interactions were significant for fear [t(1) = 1.019, p = 0.03] and anger expression [t(1) = 1.039, p = 0.03]. However, Mann–Whitney comparisons did not show significant differences between robot-based and computer-based training. Finally, no difference was found in the levels of engagement comparing the two groups in terms of the number of voice prompts given during interventions. Albeit the results are preliminary and should be interpreted with caution, this study suggests that two types of technology-based training, one mediated via a humanoid robot and the other via a pre-settled video of a peer, perform similarly in promoting facial recognition and expression of basic emotions in children with an ASC. The findings represent the first step to generalize the abilities acquired in a laboratory-trained situation to naturalistic interactions