Computational-Imaging-Systeme kombinieren optische und digitale Signalverarbeitung um Information aus dem Licht einer Szene zu extrahieren. In dieser Arbeit wird das Raytracing-Verfahren als Simulationswerkzeug genutzt, um Computational-Imaging-Systeme ganzheitlich zu beschreiben, bewerten und optimieren. Am Beispiel der monokularen Tiefenschätzung wird die Simulation mit einem realen Prototyp einer Kamera mit programmierbarer Apertur verglichen und die vorgestellten Methoden evaluiert. Computational imaging systems combine optical and digital signal processing in order to extract information from the light of a scene. This work presents raytracing as a simulation tool to thoroughly describe, assess and optimize computational imaging systems. By means of the exemplary case of monocular depth estimation, the simulation is compared to a real prototype of a camera with programmable aperture and the presented methods are evaluated.
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.
Neuwareinkl. Nylontasche als Guerteletui10-fache VergroesserungObjektivdurchmesser: 25 mmSehfeld: 96 m auf 1000 mDioptrienfeineinstellungKlein aber fein. - Das Monocular bietet Ihnen viele Funktionen. Sie koennen mit 10-facher Vergroesserung auf 1000 Meter eine
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.
Monocular vision is vision in which each eye is used separately. By using the eyes in this way, as opposed by binocular vision, the field of view is increased, while depth perception is limited. The eyes are usually positioned on opposite sides of the animal's head giving it the ability to see two objects at once. The word monocular comes from the Greek root, mono for one, and the Latin root, oculus for eye. Most birds and lizards (except chameleons) have monocular vision. Owls and other birds of prey are notable exceptions. Also many prey have monocular vision to see predators.
Developing on-board driver assistance systems (DAS) requires understanding of various events involving the motions of the vehicles in the vicinity of the host vehicle. Determining the position of other vehicles on the road is a key information to help driver assistance systems. Thus, robust and reliable vehicle detection and tracking are the basic steps in these systems. Since monocular vision based systems are particularly interesting for the advantage of reducing costs and maintenance and for the high fidelity information they give about the driving environment, the problem can be addressed by applying computer vision techniques. This work has mainly been focused on detecting and tracking vehicles viewed from inside a vehicle the camera mounted in daylight conditions. The approach presented in the book uses vehicle shadow clues and vehicle edge information to obtain cost effective and fast estimation. After extracting vehicles, the algorithm effectively track them using a Kalman filter based tracking algorithm. Several sequences from real traffic situations have been tested, obtaining highly accurate multiple vehicle detections.
Who killed Nanna Birk Larsen? Through the dark wood where the dead trees give no shelter Nanna Birk Larsen runs…. There is a bright monocular eye that follows, like a hunter after a wounded deer. It moves in a slow approaching zigzag, marching through the Pineseskoven wasteland, through the Pentecost Forest. The chill water, the fear, his presence not so far away... There is one torchlight on her now, the single blazing eye. And it is here.... Sarah Lund is looking forward to her last day as a detective with the Copenhagen Police department before moving to Sweden. But everything changes when nineteen-year-old student, Nanna Birk Larsen, is found raped and brutally murdered in the woods outside the city. Lund’s plans to relocate are put on hold as she leads the investigation along with fellow detective Jan Meyer. While Nanna’s family struggles to cope with their loss, local politician Troels Hartmann is in the middle of an election campaign to become the new mayor of Copenhagen. When links between City Hall and the murder suddenly come to light, the case takes an entirely different turn. Over the course of twenty days, suspect upon suspect emerges as violence and political intrigue cast their shadows over the hunt for the killer. 1. Language: English. Narrator: Christian Rodska. Audio sample: http://samples.audible.de/bk/macm/000614/bk_macm_000614_sample.mp3. Digital audiobook in aax.
A Fuzzy-Mathematical Model to Motion Detection with Monocular Vision ab 44.9 EURO Vision Based Mobile Robots
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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 book presents a hardware architecture for the Simultaneous Localization And Mapping (SLAM) problem applied to embedded robots. The architecture is composed by highly specialized modules for robot localization and feature-based map building from images obtained directly from CMOS cameras in real time. The system is completely embedded on a Field-Programmable Gate Array (FPGA) device, where several hardware-orientated optimizations are exploited. The main modules of the architecture are the Extended Kalman Filter (EKF) and the feature detection system based on the SIFT (Scale Invariant Feature Transform) algorithm. Additionally, this book also presents basic concepts about mapping and state-of-the-art algorithms for SLAM with monocular and stereo vision.
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.