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Focusing on the anthropological development of Amazonia, this volume explores the legacy of Peter Rivière, a recently retired Professor of Social Anthropology, University of Oxford. An international group of leading specialists contributes to the substantial and growing body of Amazonian ethnography, discussing topics that include kinship and genealogy, the village as a unit of ethnographic observation, the human body in political and social processes, and gender relationships as aspects of political cosmological thinking.
Beyond the Visible: A handbook of best practice in plant UV photobiology presents methods for research on the responses of plants to ultraviolet (UV) radiation. The knowledge needed to make informed decisions about manipulation and quantification of UV radiation is summarized. Practical recommendations for obtaining reliable and relevant data and interpretations are given. The handbook covers research both on terrestrial and aquatic plants and it deals with experimentation on ecological, eco-physiological and physiological questions. The handbook includes 115 figures, mostly in colour, 19 tables and 12 text boxes. It is the result of the activities of COST action FA0906 "UV4growth", and it includes contributions by 17 authors. From the foreword by Dr. Marcel A. K. Jansen: This book ... is an important contribution towards such sound experimental design, promoting both "good practice" in UV-B manipulation, as well as "standardisation" of methodologies. Writing an authoritative book that will steer experimental approaches over the coming years, can not easily be done by an individual, but rather requires the concerted effort of a team of expert scientists. ... This is surely an excellent example of a concerted, Europeanwide activity that will boost the plant UV-B research field in Europe and beyond, for years to come.
What is religion? Where does it come from? Which religion best fits our needs? Mankind has always been curious to discover whats beyond the visible. From the moment that confusion surrounded the existence and the true identity of God, new sciences developed, and many philosophers fell into question. Many more questions have followed ever since. In Beyond the Visible: Uniting Science and Religion, author Issa Gammoh ponders some of these age-old questions, considering whether there is a universally true answer. In the twenty first century, with humanitys advanced knowledge and ways of thinking, science is getting closer to resolving many of the questions that have been confounding humanity for centuries. The discovery of the Higgs field, the derivation of the famous equation E=mc2, a better psychological understanding of ourselves, and our developing knowledge about neurologyall of these and much more provide us with guidance. One way of thinking can link all of these concepts together to reach scientific answers about many unknowns that humanity has pursued for many generations. Beyond the Visible travels a path of discovery to find the link between many unknown phenomena and theories. This journey seeks to erase your confusion with what will be the scientific evidences of invisible randomness. Expand your consciousness and understanding about life and the world in which you are living.
Recently, there has been a dramatic increase in the use of sensors in the non-visible bands. As a result, there is a need for existing computer vision methods and algorithms to be adapted for use with non-visible sensors, or for the development of completely new methods and systems. Computer Vision Beyond the Visible Spectrum is the first book to bring together state-of-the-art work in this area. It presents new & pioneering research across the electromagnetic spectrum in the military, commercial, and medical domains. By providing a detailed examination of each of these areas, it focuses on the development of state-of-the-art algorithms and looks at how they can be used to solve existing & new challenges within computer vision. Essential reading for academics & industrial researchers working in the area of computer vision, image processing, and medical imaging, it will also be useful background reading for advanced undergraduate & postgraduate students.
The Chatter of the Visible examines the paradoxical narrative features of the photomontage aesthetics of artists associated with Dada, Constructivism, and the New Objectivity. While montage strategies have commonly been associated with the purposeful interruption of and challenge to narrative consistency and continuity, McBride offers an historicized reappraisal of 1920s and 1930s German photomontage work to show that its peculiar mimicry was less a rejection of narrative and more an extension or permutation of it—a means for thinking in narrative textures exceeding constraints imposed by “flat” print media (especially the novel and other literary genres). McBride’s contribution to the conversation around Weimar-era montage is in her situation of the form of the work as a discursive practice in its own right, which affords humans a new way to negotiate temporality, as a particular mode of thinking that productively relates the particular to the universal, or as a culturally specific form of cognition.
"Resonance of the Unseen Cosmos: Unveiling Life Beyond the Visible Spectrum" takes readers on an exhilarating journey into the hidden realms of the universe. From the depths of infrared landscapes to the heights of ultraviolet fluorescence, this book explores the mysteries of life beyond the limits of visible light. Through captivating narratives and insightful exploration, readers delve into the enigmatic world of non-carbon life forms, theoretical frameworks, and the intricate interactions between light, life, and the cosmos. From the infrared sensors aboard spacecraft to the thermal-sensitive organs of Earth's creatures, the book uncovers the profound implications of infrared and ultraviolet radiation on life as we know it. With meticulously researched content and thought-provoking insights, "Resonance of the Unseen Cosmos" navigates the complexities of alternative biochemistries, extreme environments, and the enduring quest for understanding. It challenges readers to embrace the unknown, to venture into uncharted territory with courage and curiosity, and to explore the frontiers of knowledge with an open mind and an adventurous spirit. Drawing from the latest scientific discoveries and interdisciplinary research, this book offers a compelling exploration of life's unseen dimensions and the limitless possibilities that lie beyond the visible spectrum. It serves as a beacon of inspiration for scientists, scholars, and enthusiasts alike, inviting readers to embark on a voyage of discovery that promises to reshape our understanding of the cosmos and our place within it. "Resonance of the Unseen Cosmos" is a testament to the indomitable human spirit, the unquenchable thirst for knowledge, and the enduring quest for understanding in the boundless expanse of the universe.
Thermal cameras have historically been of interest mainly for military applications. Increasing image quality and resolution combined with decreasing camera price and size during recent years have, however, opened up new application areas. They are now widely used for civilian applications, e.g., within industry, to search for missing persons, in automotive safety, as well as for medical applications. Thermal cameras are useful as soon as there exists a measurable temperature difference. Compared to cameras operating in the visual spectrum, they are advantageous due to their ability to see in total darkness, robustness to illumination variations, and less intrusion on privacy. This thesis addresses the problem of automatic image analysis in thermal infrared images with a focus on machine learning methods. The main purpose of this thesis is to study the variations of processing required due to the thermal infrared data modality. In particular, three different problems are addressed: visual object tracking, anomaly detection, and modality transfer. All these are research areas that have been and currently are subject to extensive research. Furthermore, they are all highly relevant for a number of different real-world applications. The first addressed problem is visual object tracking, a problem for which no prior information other than the initial location of the object is given. The main contribution concerns benchmarking of short-term single-object (STSO) visual object tracking methods in thermal infrared images. The proposed dataset, LTIR (Linköping Thermal Infrared), was integrated in the VOT-TIR2015 challenge, introducing the first ever organized challenge on STSO tracking in thermal infrared video. Another contribution also related to benchmarking is a novel, recursive, method for semi-automatic annotation of multi-modal video sequences. Based on only a few initial annotations, a video object segmentation (VOS) method proposes segmentations for all remaining frames and difficult parts in need for additional manual annotation are automatically detected. The third contribution to the problem of visual object tracking is a template tracking method based on a non-parametric probability density model of the object's thermal radiation using channel representations. The second addressed problem is anomaly detection, i.e., detection of rare objects or events. The main contribution is a method for truly unsupervised anomaly detection based on Generative Adversarial Networks (GANs). The method employs joint training of the generator and an observation to latent space encoder, enabling stratification of the latent space and, thus, also separation of normal and anomalous samples. The second contribution is the previously unaddressed problem of obstacle detection in front of moving trains using a train-mounted thermal camera. Adaptive correlation filters are updated continuously and missed detections of background are treated as detections of anomalies, or obstacles. The third contribution to the problem of anomaly detection is a method for characterization and classification of automatically detected district heat leakages for the purpose of false alarm reduction. Finally, the thesis addresses the problem of modality transfer between thermal infrared and visual spectrum images, a previously unaddressed problem. The contribution is a method based on Convolutional Neural Networks (CNNs), enabling perceptually realistic transformations of thermal infrared to visual images. By careful design of the loss function the method becomes robust to image pair misalignments. The method exploits the lower acuity for color differences than for luminance possessed by the human visual system, separating the loss into a luminance and a chrominance part.
This textbook introduces methods of geoscientific data acquisition using MATLAB in combination with inexpensive data acquisition hardware such as sensors in smartphones, sensors that come with the LEGO MINDSTORMS set, webcams with stereo microphones, and affordable spectral and thermal cameras. The text includes 35 exercises in data acquisition, such as using a smartphone to acquire stereo images of rock specimens from which to calculate point clouds, using visible and near-infrared spectral cameras to classify the minerals in rocks, using thermal cameras to differentiate between different types of surface such as between soil and vegetation, localizing a sound source using travel time differences between pairs of microphones to localize a sound source, quantifying the total harmonic distortion and signal-to-noise ratio of acoustic and elastic signals, acquiring and streaming meteorological data using application programming interfaces, wireless networks, and internet of things platforms, determining the spatial resolution of ultrasonic and optical sensors, and detecting magnetic anomalies using a smartphone magnetometer mounted on a LEGO MINDSTORMS scanner. The book’s electronic supplementary material (available online through Springer Link) contains recipes that include all the MATLAB commands featured in the book, the example data, the LEGO construction plans, photos and videos of the measurement procedures.