Modelling human preference in evolutionary art

Creative activities including arts are characteristic to humankind. Our understanding of creativity is limited, yet there is substantial research trying to mimic human creativity in artificial systems and in particular to produce systems that automatically evolve art appreciated by humans. We propose here to model human visual preference by a set of aesthetic measures identified through observation of human selection of images and then use these for automatic evolution of aesthetic images. © 2011 Springer-Verlag.

Transversal and longitudinal images from the retina of the living eye using low coherence interferometry

An optical coherence tomography (OCT) system to produce both longitudinal and transversal images of the in vivo human eye is presented. For the first time, OCT transversal images collected from the living eye at 50-µm depth steps show details unobtainable with the state-of-the-art scanning laser ophthalmoscope. Images of up to 3×3?mm are produced from the retina in less than a second. For images larger than 1.6×1.6?mm, a path modulation is introduced by the galvanometric scanning mirror and is used as an effective phase modulation method.

Fitness and novelty in evolutionary art

In this paper the effects of introducing novelty search in evolutionary art are explored. Our algorithm combines fitness and novelty metrics to frame image evolution as a multi-objective optimisation problem, promoting the creation of images that are both suitable and diverse. The method is illustrated by using two evolutionary art engines for the evolution of figurative objects and context free design grammars. The results demonstrate the ability of the algorithm to obtain a larger set of fit images compared to traditional fitness-based evolution, regardless of the engine used.

Transversal and longitudinal images from the retina of the living eye using low coherence interferometry

An optical coherence tomography (OCT) system to produce both longitudinal and transversal images of the in vivo human eye is presented. For the first time, OCT transversal images collected from the living eye at 50-µm depth steps show details unobtainable with the state-of-the-art scanning laser ophthalmoscope. Images of up to 3×3?mm are produced from the retina in less than a second. For images larger than 1.6×1.6?mm, a path modulation is introduced by the galvanometric scanning mirror and is used as an effective phase modulation method.

Algorithms for super-resolution of images based on Sparse Representation and Manifolds

lmage super-resolution is defined as a class of techniques that enhance the spatial resolution of images. Super-resolution methods can be subdivided in single and multi image methods. This thesis focuses on developing algorithms based on mathematical theories for single image super­ resolution problems. lndeed, in arder to estimate an output image, we adopta mixed approach: i.e., we use both a dictionary of patches with sparsity constraints (typical of learning-based methods) and regularization terms (typical of reconstruction-based methods). Although the existing methods already per- form well, they do not take into account the geometry of the data to: regularize the solution, cluster data samples (samples are often clustered using algorithms with the Euclidean distance as a dissimilarity metric), learn dictionaries (they are often learned using PCA or K-SVD). Thus, state-of-the-art methods still suffer from shortcomings. In this work, we proposed three new methods to overcome these deficiencies. First, we developed SE-ASDS (a structure tensor based regularization term) in arder to improve the sharpness of edges. SE-ASDS achieves much better results than many state-of-the- art algorithms. Then, we proposed AGNN and GOC algorithms for determining a local subset of training samples from which a good local model can be computed for recon- structing a given input test sample, where we take into account the underlying geometry of the data. AGNN and GOC methods outperform spectral clustering, soft clustering, and geodesic distance based subset selection in most settings. Next, we proposed aSOB strategy which takes into account the geometry of the data and the dictionary size. The aSOB strategy outperforms both PCA and PGA methods. Finally, we combine all our methods in a unique algorithm, named G2SR. Our proposed G2SR algorithm shows better visual and quantitative results when compared to the results of state-of-the-art methods.

Lorraine O'Grady with images of Nerfititi and Deuonia Evangeline projected behind her

Inscription: Verso: "Nefertiti/Deuonia Evangeline" New York.

Automated Assessment of Image Quality and Dose Attributes in Clinical CT Images

Computed tomography (CT) is a valuable technology to the healthcare enterprise as evidenced by the more than 70 million CT exams performed every year. As a result, CT has become the largest contributor to population doses amongst all medical imaging modalities that utilize man-made ionizing radiation. Acknowledging the fact that ionizing radiation poses a health risk, there exists the need to strike a balance between diagnostic benefit and radiation dose. Thus, to ensure that CT scanners are optimally used in the clinic, an understanding and characterization of image quality and radiation dose are essential.

The state-of-the-art in both image quality characterization and radiation dose estimation in CT are dependent on phantom based measurements reflective of systems and protocols. For image quality characterization, measurements are performed on inserts imbedded in static phantoms and the results are ascribed to clinical CT images. However, the key objective for image quality assessment should be its quantification in clinical images; that is the only characterization of image quality that clinically matters as it is most directly related to the actual quality of clinical images. Moreover, for dose estimation, phantom based dose metrics, such as CT dose index (CTDI) and size specific dose estimates (SSDE), are measured by the scanner and referenced as an indicator for radiation exposure. However, CTDI and SSDE are surrogates for dose, rather than dose per-se.

Currently there are several software packages that track the CTDI and SSDE associated with individual CT examinations. This is primarily the result of two causes. The first is due to bureaucracies and governments pressuring clinics and hospitals to monitor the radiation exposure to individuals in our society. The second is due to the personal concerns of patients who are curious about the health risks associated with the ionizing radiation exposure they receive as a result of their diagnostic procedures.

An idea that resonates with clinical imaging physicists is that patients come to the clinic to acquire quality images so they can receive a proper diagnosis, not to be exposed to ionizing radiation. Thus, while it is important to monitor the dose to patients undergoing CT examinations, it is equally, if not more important to monitor the image quality of the clinical images generated by the CT scanners throughout the hospital.

The purposes of the work presented in this thesis are threefold: (1) to develop and validate a fully automated technique to measure spatial resolution in clinical CT images, (2) to develop and validate a fully automated technique to measure image contrast in clinical CT images, and (3) to develop a fully automated technique to estimate radiation dose (not surrogates for dose) from a variety of clinical CT protocols.

“Art Will Not Disappear Into Nothing; It Will Disappear Into Everything“: The Black Audio Film Collective and Latin America

The development of Latin American cinema in the 1960s was underwritten by a number of key texts that outlined the aesthetic and political direction of individual filmmakers and collectives (Solanas and Getino, 1969; Rocha, 1965; Espinosa, 1969). Although asserting the specificity of Latin American culture, the theoretical foundations of its New Wave influenced oppositional filmmaking way beyond its own regional boundaries. This chapter looks at how movements in British art cinema, especially the Black Audio Film Collective, were inspired and propelled by the theories behind New Latin American cinema. Facilitated by English translations in journals such as Jump Cut in the early ‘80s, Cuban and Argentine cinematic manifestoes provided a radical alternative to the traditional language of film theory available to filmmakers in Europe and works such as Signs of Empire (1983-4); Handsworth Songs (1986) and Seven Songs for Malcolm X (1993) grew out of this trans-continental exchange. The Black Audio Film Collective represented a merging of politics, popular culture, and art that was, at once, oppositional and melodic. Fusing postcolonial discourse with pop music, the avant-garde and re-imaginings of subalternity, the work of ‘The Collective’ provides us with a useful example of how British art cinema has drawn from theoretical foundations formed outside of Europe and the West. As this chapter will argue however, the Black Audio Film Collective’s work can also be read as a reaction to the specificity of British socio-politics of the ‘80s and ‘90s. Its engagement with the aesthetico-political strategies of Latin American cinema, then, undercut what was a solidly British project, rooted in (post)colonial history and emerging ideas of disaporic identity. If the propulsive thrust of The Black Audio Film Collective’s art was shaped by Third Cinema, its images and concerns were self-consciously British.

Bodily Experience and Restricted Conditions in Contemporary Art

The Doctoral research was carried out with the primary purpose of reviewing past practice designs and for identifying how body movements contributes to these designs. The context in which the body movements are understood are that of discipline enforced by culture and other physio-biological restraints. A discussion on the relationships of body experience in restricted conditions are carried out, which includes the interaction between movement and space in the application of painting, moulding, biological markers, and moving images. The discipline, socially acceptable practices and regulations present in the researcher’s personal life and culture frame the artworks and a fascinating exploration of dynamics between freedom of movement in artwork construction and restrain of behaviour has been analyzed. In the process of art production, significant points discussed were with respect to the identification, succession and repetition of habitual acts. In addition, bodily movement could be considered as a synthesis of spatiality and temporality. The key point which contains the elements of time and space remains relevant to my creative practice and theoretical research. The core interest of my practice is in understanding the settings and simple rules for bodily movement, which is inspired by the past and forms a possible creation for the future. In this research, the attempt was not to display a comprehensive understanding on how body influences the design of art but rather to explain how understanding body movements provides a trace of my works, from origin, the working process and to completion. Relevant artworks and reflection of personal experiences are discussed as needed to help the reader gain more insight on the interactions of body in art creations.

Using Surface Spectroscopy to Help Interpret STM Images of Chemisorbed Molecules: Application to the Study of the Hydrogenation of Ketones and a-Ketoesters on Pt

Depuis que la haute énantiopureté est nécessaire dans l’industrie pharmaceutique, les études visant à découvrir les mécanismes pour l’hydrogénation énantiosélective de cétones ou céto-esters sur les surfaces, et à rechercher de nouveaux et plus performants catalyseurs asymétriques, sont d’une grande importance. La microscopie à effet tunnel (STM), la spectroscopie infrarouge de réflexion-absorption, la spectroscopie de désorption à température programmée et la spectrométrie de photoélectrons induits par rayons X sont des méthodes performantes facilitant la compréhension des mécanismes de réaction. En plus de nous permettre de comprendre les mécanismes réactionnels, les études peuvent fournir des informations sur la dynamique des réactions en catalyse hétérogène ainsi que sur le développement de la théorie de la fonctionnelle de la densité (DFT) afin de calculer des interactions faibles dans les processus de surface. D’autres parts, les calculs DFT fournissent une aide essentielle à l’interprétation des données de STM et spectroscopie de surface. Dans cette thèse, certains cétones et céto-esters sur la surface de platine sont étudiées par les techniques sophistiquées mentionnées ci-dessus. Mes études démontrent que la combinaison de l’utilisation de la spectroscopie de routine, des nanotechnologies et de nombreux calculs élaborés, est une méthode efficace pour étudier les réactions à la surface car ces techniques explorent les différents aspects de la surface ainsi que s’entraident mutuellement lors de certaines interprétations.

Hand detection on images based on deformable part models and additional features

Hand detection on images has important applications on person activities recognition. This thesis focuses on PASCAL Visual Object Classes (VOC) system for hand detection. VOC has become a popular system for object detection, based on twenty common objects, and has been released with a successful deformable parts model in VOC2007. A hand detection on an image is made when the system gets a bounding box which overlaps with at least 50% of any ground truth bounding box for a hand on the image. The initial average precision of this detector is around 0.215 compared with a state-of-art of 0.104; however, color and frequency features for detected bounding boxes contain important information for re-scoring, and the average precision can be improved to 0.218 with these features. Results show that these features help on getting higher precision for low recall, even though the average precision is similar.

Self determination, embodied languages and landscapes in women's video art.

This paper addresses how, since the 1960s to the present, part of women's video art has broken the traditional representation of women’s body and proposed new forms of recording women's images, explicit or symbolic, using body part close-ups, and not sparing any efforts to ensure the prevention of the cataloguing of women’s bodies according to normative categories, such as gender, race and age, and in this way challenging the Western representation codes that objectify women. The methodology employed had as its primary purpose the examination of the association existing between the micro-sociological level of body gestures and performances in women's videos and the macro-sociological level of social forces such as the dimensions of gender and sexuality. This study concluded that narratives of identity and self-determination are present in women's video pieces contributing to women's empowerment through visual discourses that could possibly point to the production of new signs and symbols, new values and models, but also for the formation of new types of social roles and even a new type of interpersonal relationships.

The use of visual art in judging clinical competence in the operating suite

This research evolved out of the need to design and validate an instrument to assess nursing competencies in the operating suite. The study was an empirical investigation of the use of analytical and holistic rubrics to determine various levels of performance including inter-rater reliability. Three video clips that captured nurses performing as instrument nurses in the operating suite were recorded and used as prompts by the expert raters who judged the performance of the candidates in each video clip using the rubrics. Gaining consent for recording the video clips in the operating suite was difficult, creating a barrier to conducting this research. Ethical issues were addressed, which included editing of the video clips and removal of sound as stipulated by the Human Research and Ethics Committee. Despite the barriers to using visual art in research, this study produced acceptable inter-rater reliability in determining various levels of performance of the instrument nurse in the operating suite.

Sparse representation for face images.

This thesis address issues for face recognition with multi-view face images. Several effective methods are proposed and compared with current state of the art. A novel framework that generalises existing sparse representation-based methods in order to exploit the sharing information to against pose variations of face images is proposed.