Erscheinungsdatum: 02.01.2018, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: A Visão Monocular e a Aposentadoria Especial da Pessoa com Deficiência, Titelzusatz: Pessoa com deficiência visual, Autor: Lino, Leandro Jorge de Oliveira, Verlag: Novas Edições Acadêmicas, Sprache: Portugiesisch, Rubrik: Öffentliches Recht, Seiten: 228, Informationen: Paperback, Gewicht: 356 gr, Verkäufer: averdo
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Ocular dominance columns are regions of neurons in the visual cortex that synapse with axons carrying transduced signals from either the left or right eye. The columns span multiple cortical layers, producing a striped pattern when the deeper levels are stained. Prior to birth, monocular transduction pathways are already established through a process known as Hebbian learning. Spontaneous retinal activity in one eye of the developing fetus leads to neuronal depolarization. Synapses that receive multiple inputs are more likely to propagate the signal, whereas errant connections will not be sufficient to trigger another action potential. Post-synaptic neurons that depolarize become permeable to calcium ions, if glutamate has been released by the pre-synaptic axon terminal. Calcium''s entry leads to a chemical process that strengthens the synapse, making it more likely to survive than other connections.
Visual scene understanding is one of the ultimate goals in computer vision and has been in the field's focus since its early beginning. Despite continuous effort over several years, applications such as autonomous driving and robotics are still subject to active research. In recent years, improved probabilistic methods became a popular tool for state-of-the-art computer vision algorithms. Additionally, high resolution digital imaging devices and increased computational power became available. By leveraging these methodical and technical advancements current methods obtain encouraging results in well defined environments for robust object class detection, tracking and pixel-wise semantic scene labeling and give rise to renewed hope for further progress in scene understanding for real environments. This book improves state-of-the-art scene understanding with monocular cameras and aims for applications on mobile platforms such as service robots or driver assistance for automotive safety. It develops and improves approaches for object class detection and semantic scene labeling and integrates those into models for global scene reasoning which exploit context at different levels.
High Quality Content by WIKIPEDIA articles! The visual system is the part of the central nervous system which enables organisms to see. It interprets the information from visible light to build a representation of the world surrounding the body. The visual system accomplishes a number of complex tasks, including the reception of light and the formation of monocular representations, the construction of a binocular perception from a pair of two dimensional projections, the identification and categorization of visual objects, assessing distances to and between objects, and guiding body movements to visual objects. The psychological manifestation of visual information is known as visual perception.
This manuscript addresses the problem of obstacle avoidance for semi- and autonomous terrestrial platforms in dynamic and unknown environments. Based on monocular vision, it proposes a set of tools that continuously monitors the way forward, proving appropriate road information in real time. Taking into account the temporal coherence between consecutive frames, a new Dynamic Power Management methodology is proposed and applied to a robotic visual machine perception, which included a new environment observer method to optimize energy consumption used by a visual machine. A remarkable characteristic of these methodologies is its independence of the image acquiring system and of the robot itself. This real-time perception system has been evaluated from different test-banks and also from real data obtained by two intelligent platforms. In semi-autonomous tasks, tests were conducted at speeds above 100 Km/h. Autonomous displacements were also carried out successfully.
High Quality Content by WIKIPEDIA articles! Stereopsis (from stereo meaning solidity, and opsis meaning vision or sight) is the process in visual perception leading to the sensation of depth from the two slightly different projections of the world onto the retinas of the two eyes. The differences in the two retinal images are called horizontal disparity, retinal disparity, or binocular disparity. The differences arise from the eyes' different positions in the head. Stereopsis is commonly referred to as depth perception. This is inaccurate, as depth perception relies on many more monocular cues than stereoptical ones, and individuals with only one functional eye still have full depth perception except in artificial cases (such as stereoscopic images) where only binocular cues are present.
Visual perception relies on both selective andconstructive perceptual processes. For example,binocular rivalry leads to the selective perceptionof one of two competing monocular stimuli, whereasvisual phantom formation leads to perceptualfilling-in of a large gap between two collinearlyaligned gratings. This book explores the role ofperceptual and attentional mechanisms in binocularrivalry and perceptual filling-in, and investigatesthe neural interactions between rivalry andfilling-in to gain new insights into the nature ofthese perceptual phenomena. These studies providecompelling new evidence suggesting that the neuralmechanisms underlying selective perception andconstructive perception both operate at early stagesof visual processing, and that dynamic interactionscan take place between these mechanisms at these sameearly sites. Moreover, the mechanistic approach,which this book takes to study visual awareness, ismore promising to help us understand howconsciousness arises as a consequence of brainactivity than merely searching for the neuralcorrelates of consciousness.
This monograph introduces novel responses to the different problems that arise when multiple robots need to execute a task in cooperation, each robot in the team having a monocular camera as its primary input sensor. Its central proposition is that a consistent perception of the world is crucial for the good development of any multi-robot application. The text focuses on the high-level problem of cooperative perception by a multi-robot system: the idea that, depending on what each robot sees and its current situation, it will need to communicate these things to its fellows whenever possible to share what it has found and keep updated by them in its turn. However, in any realistic scenario, distributed solutions to this problem are not trivial and need to be addressed from as many angles as possible.Distributed Consensus with Visual Perception in Multi-Robot Systems covers a variety of related topics such as:- distributed consensus algorithms,- data association and robustness problems,- convergence speed, and- cooperative mapping.The book first puts forward algorithmic solutions to these problems and then supports them with empirical validations working with real images. It provides the reader with a deeper understanding of the problems associated to the perception of the world by a team of cooperating robots with onboard cameras.Academic researchers and graduate students working with multi-robot systems, or investigating problems of distributed control or computer vision and cooperative perception will find this book of material assistance with their studies.