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.
Depth estimation from a single monocular image is a difficult problem.The task is even more challenging as depth cues such as motion, stereo correspondences are not present in single image. Hence machine learning based approach for extracting depth information from single image is proposed. Firstly depth is generated by manifold learning in which LLE algorithm is used, it is a non linear method of dimensionality reduction in which neighbors of input set in higher dimensional space are preserved while being transformed into lower dimensional space. The depth maps obtained are further refined by fixed point algorithm, it is supervised learning in which those features are extracted from image which have strong correspondences with labels.
Recovery of dense geometry and camera motion from a set of monocular images is a well-known problem that can be solved quite reliably in well-conditioned environments. Typical algorithms dealing with this problem assume static lighting and presence of sufficient scene texture. There are, however, many situations where these prerequisites are not met, and common algorithms fail. One example is medical video-endoscopy, where surfaces do not exhibit much texture, and lighting conditions change due to the moving light source that is mounted on the camera. We suggest to address the problem by applying a purely intensity-based approach that also takes into account changes in lighting conditions. In this thesis, we investigate the applicability of sliding window intensity-based bundle-adjustment methods to this problem.
The 4th International Visual Field Symposium of the International Perimetric Society, was held on the 13-16 April 1980 in Bristol, England,at the occasion of the 6th Congress of the European Society of Ophthalmology. The main themes of the symposium were comparison of classical perimetry with visual evoked response, comparison of classical perimetry with special psychophysi cal methods, and optic nerve pathology. Understandably many papers dealt with computer assisted perimetry. This rapidly developing subgroup of peri metry may radically change the future of our method of examination. New instruments were introduced, new and exciting software was proposed and the results of comparative investigations reported. There have been many confusing statements in the literature on the relative value of perimetry and the registration of visual evoked responses. Several reports attempted to bring some clarity in this issue. There is reason for further comparative research. A number of papers dealt with special psychophysical methods, i.e. methods not using the simply monocular differential threshold. The old critical fusion frequency received new attention. Fundusperimetry was used for testing spatial summation. Acuity perimetry, binocular perimetry etc. showed that there exist many possibilities for examining visual function. At present it is not clear to us what exactly the place of these methods is in our diagnostic armament. However it is quite clear that some of them are promising and may lead to a further differentiation of perimetric methods.
High Quality Content by WIKIPEDIA articles! High Quality Content by WIKIPEDIA articles! The lightweight helmet is the U.S. Marine Corps replacement for the PASGT combat helmet. As it is nearly identical to untrained eyes in shape to the PASGT, it is still called the "Fritz helmet" or "K-pot". Though heavier than the Army's advanced combat helmet, its larger size also offers more protection and is lighter than the PASGT. Featuring a V-neck strap and improved fit, it is much more comfortable than the PASGT. It entered service in late 2004 and will completely replace the PASGT by 2009. As with the PASGT helmet, it is an olive drab color, and can be fitted with cloth helmet covers in desert and woodland MARPAT camouflage patterns, as well as a mounting bracket on the front for any sort of night vision device, such as the AN/PVS-7 night vision goggle or AN/PVS-14 monocular night vision device. Marines currently can be issued with a sling suspension or a pad suspension to fit the inside of the helmet to the head. A nape protection system to add ballistic protection to the rear of the head is also being fielded.
Bei Dunkelheit oder schlechten Lichtverhältnissen die Umgebung im Auge behalten - mit dem Nachtsichtgerät NVI-450 ist das kein Problem. Das Fernrohr kann sowohl am Tag wie auch in der Nacht für die Foto- und Videoaufnahme verwendet werden. Ob es um die Beobachtung der Natur geht, um die Jagd, den Fischfang, eine Bootsfahrt oder gar Such- und Rettungsmaßnahmen oder andere Outdooraktivitäten: Das Nachtsichtgerät NVI-450 mit 40-mm-Objektiv (5fach-vergrößernd) und Infrarotfunktion bietet Ihnen eine klare Nachtsicht. Bei Dunkelheit oder schlechten Lichtverhältnissen erweitert das Monokular Ihre Sicht auf bis zu 200 m. Die integrierte Aufnahmefunktion für Videos und Fotos macht es möglich, das Geschehen jederzeit auf eine microSD-Karte aufzuzeichnen. Ein 3,3-cm-LC-Display (1,3") erlaubt die sofortige Wiedergabe und Kontrolle Ihrer Aufnahmen. Angeschlossen an einen PC wird die microSD-Karte direkt ausgelesen, sodass die enthaltenen Dateien bearbeitet werden können. Digitales Nachtsicht-Monokular mit Video- und Fotoaufnahmefunktion 1,3 MP CCD-Sensor, 5x optische Vergrößerung, 5x digitale Vergrößerung Objektiv-Durchmesser: 40 mm Integrierte LED-Infrarotfunktion, 940 nm Sichtweite von 5 m bis 200 m bei Dunkelheit Okular-Anpassungsbereich: ± 0,6 Dioptrien 3,3-cm-LC-Display (1,3") zur sofortigen Kontrolle der Aufnahmen Fotoauflösung: 1280 x 960p Videoauflösung: 640 x 480p @ 15 fps, VGA Speichert Aufnahmen direkt auf eine einsetzbare microSD-Karte (max. 32 GB, nicht inkl.) 800-mAh-Li-Ion-Akku (3,7V), 1,5 h Laufzeit (1 h mit laufender IR-Funktion) AV-Ausgang für den Anschluss an einen Fernseher USB-Port für den Anschluss an einen PC Stromversorgung: 5V DC, 2A Inkl. Trage-/Schutztasche mit Trageriemen Betriebseinsatztemperatur: -5°C bis +40°C Abm. (B x H x T): 200 x 56 x 86 mm, Gewicht: 400 g
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.
Erscheinungsdatum: 24.01.2015, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: A Fuzzy-Mathematical Model to Motion Detection with Monocular Vision, Titelzusatz: Vision Based Mobile Robots, Autor: Pathirana, Suneth, Verlag: LAP Lambert Academic Publishing, Sprache: Englisch, Rubrik: Informatik // EDV, Sonstiges, Seiten: 156, Informationen: Paperback, Gewicht: 249 gr, Verkäufer: averdo
The field of robotic vision has advanced dramatically recently with the development of new range sensors. Tremendous progress has been made resulting in significant impact on areas such as robotic navigation, scene/environment understanding, and visual learning. This edited book provides a solid and diversified reference source for some of the most recent important advancements in the field of robotic vision. The book starts with articles that describe new techniques to understand scenes from 2D/3D data such as estimation of planar structures, recognition of multiple objects in the scene using different kinds of features as well as their spatial and semantic relationships, generation of 3D object models, approach to recognize partially occluded objects, etc. Novel techniques are introduced to improve 3D perception accuracy with other sensors such as a gyroscope, positioning accuracy with a visual servoing based alignment strategy for microassembly, and increasing object recognition reliability using related manipulation motion models. For autonomous robot navigation, different vision-based localization and tracking strategies and algorithms are discussed. New approaches using probabilistic analysis for robot navigation, online learning of vision-based robot control, and 3D motion estimation via intensity differences from a monocular camera are described. This collection will be beneficial to graduate students, researchers, and professionals working in the area of robotic vision.
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.
This book proposes a complete pipeline for monocular (single camera) based 3D mapping of terrestrial and underwater environments. The aim is to provide a solution to large-scale scene modeling that is both accurate and efficient. To this end, we have developed a novel Structure from Motion algorithm that increases mapping accuracy by registering camera views directly with the maps. The camera registration uses a dual approach that adapts to the type of environment being mapped.In order to further increase the accuracy of the resulting maps, a new method is presented, allowing detection of images corresponding to the same scene region (crossovers). Crossovers then used in conjunction with global alignment methods in order to highly reduce estimation errors, especially when mapping large areas. Our method is based on Visual Bag of Words paradigm (BoW), offering a more efficient and simpler solution by eliminating the training stage, generally required by state of the art BoW algorithms.Also, towards developing methods for efficient mapping of large areas (especially with costs related to map storage, transmission and rendering in mind), an online 3D model simplification algorithm is proposed. This new algorithm presents the advantage of selecting only those vertices that are geometrically representative for the scene.
Erscheinungsdatum: 15.12.2010, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Deformable Surface 3D Reconstruction from Monocular Images, Autor: Salzmann, Mathieu // Salzmann, Matthieu // Fua, Pascal, Verlag: Morgan & Claypool Publishers, Sprache: Englisch, Schlagworte: COMPUTERS // Computer Graphics, Rubrik: Informatik, Seiten: 114, Informationen: Paperback, Gewicht: 230 gr, Verkäufer: averdo