9 resultados para Visual image

em Universidade Federal do Rio Grande do Norte(UFRN)


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The purpose is to write a reflection on the audiovisual production by the visually impaired. The starting point for this research was a documentary video production workshop offered by the Instituto de Educação e Reabilitação de Cegos do Rio Grande do Norte - IERC / RN, with the participation of blind people with low vision and sighted employees of the institution. The research approach follows the precepts of complex thinking, where work is woven into the network, along with the researched. The theoretical framework is based on the theory of French sociologist Edgar Morin, and other important thinkers for this work, namely: Erving Goffman, Paulo Freire, Michel Foucault, Edward Said, Jacques Aumont, Phillpe Dubois, as well as scholars who think and theorize about his own condition and conduct discussions on the issue of blindness: Francisco Jose de Lima, Evgen Bavcar Jacques Lusseyran and Joana Belarmino. The research was formulated based on the statement in the interest of respondents to understand and produce visual images using video as a tool. In this sense, the methodology adopted approaches of action research in constructing the text and dialogue with the participation of those involved in the project. The technique of gathering the information was based on ethnographic description describing the dynamics of the workshop, the relationships between participants, relationship to the other that sees and the manner of operation of equipment. The main focus is the relationship based on dialogue of information, attitudes and ways of knowing from experience and capacity developed and obstacles for blind people to produce visual images using other benchmarks, such as touch, smell and time dimension and space, and add references that give new meaning to the guidelines based on visuality of ministering to the workshop. It is also held to discuss aspects related to the concept of image with sociological reflection about the audiovisual production made by blind people socially constructed and perpetuated by what Edgar Morin called cultural imprinting. Thus we attempted to walk the route with its obstacles and achievements in the production of new images that were seen

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The scope of this study directs an investigation in search of how the blind person learns knowledge at school mediated by the image in context of an inclusive education and how it can be (or is) triggered by the adaptation of images to the tactile seizure of the blind person and his correlative process of reading. To achieve this intent we choose a qualitative approach of research and opted for the modality of case study, based on the empirical field of a public school in the city of Cruzeta, RN and as a the main subject a congenitally blind female student enrolled in high school there, focusing, often, on the discipline of geography in its words mapping. Our procedures for construction of data are directly involved to the documentary analysis of open reflective interview and observation. The base guiding theory of our assessments is located in the current understanding about the human psychological development of its educational process inside an inclusive perspective, of contemporary conceptions about the visual disability as well of image as a cultural product. Accordingly, the human person is a concrete subject, whose development is deeply marked by the culture, historically built by human society. This subject regardless of his specific features, grasping the world in an interactive and immediate way, internalising and producing culture. In this thinking, we believe that the blind person perceives in multiple senses the stimuli of his environment and acts in the world toward his integration into the social environment. The image as a product of culture, historically and socially determined, appears as a sign conventionally used as an icon that in itself concentrates knowledge of which the student who does not realize visually himself and his surroundings cannot be excluded. In this direction, the inclusive educational process must build conditions of access to knowledge for all students without distinction, including access to the interpretation of the images originally intended for the seizure strictly visual to other perceptive models. Based in this theory and adopting principles of content analysis, we circulated inside the interpretation of the data constructed from the analysis of documents, from the subject speeches, from records of the observation made in the classroom and other notes of the field daily. In the search for pictures on the school contents, adapted to the tactile seizure of blind student, was seen little and not systematic in practice and teaching at the school. It showed us the itinerary of the student life marked by a succession of supports, most of the time inappropriate and pioneers in cooling the construction of her autonomy. It also showed us the tensions and contradictions of a school environment, supposedly inclusive, that stumbles in search of its intent, in the attitudinal and cumulative barriers brought, because of its aggravating maintenance. These findings arose of crossing data around of a categorization that gives importance to 1) Concepts regarding the school inclusion, 2) Elements of the school organization, educational proposal and teaching practice, 3) Meaning of the visual image as the object of knowledge, 4) Perception in multiple senses and 5) Development and learning of the blind person before impositions of the social environment. In light of these findings we infer that it must be guaranteed to the disabled person removal of the attitudinal barriers that are against his full development and the construction of his autonomy. In that sense, should be given opportunity to the student with visual disability, similarly to all students, not only access to school, but also the dynamics of a school life efficient, that means the seizure of knowledge in all its modalities, including the imagery. To that end, there is a need of the continued training of teachers, construction of a support network in response to all needs of students, and the opportunity to development of reading skills beyond a perspective eminently focused in the sight

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In Simultaneous Localization and Mapping (SLAM - Simultaneous Localization and Mapping), a robot placed in an unknown location in any environment must be able to create a perspective of this environment (a map) and is situated in the same simultaneously, using only information captured by the robot s sensors and control signals known. Recently, driven by the advance of computing power, work in this area have proposed to use video camera as a sensor and it came so Visual SLAM. This has several approaches and the vast majority of them work basically extracting features of the environment, calculating the necessary correspondence and through these estimate the required parameters. This work presented a monocular visual SLAM system that uses direct image registration to calculate the image reprojection error and optimization methods that minimize this error and thus obtain the parameters for the robot pose and map of the environment directly from the pixels of the images. Thus the steps of extracting and matching features are not needed, enabling our system works well in environments where traditional approaches have difficulty. Moreover, when addressing the problem of SLAM as proposed in this work we avoid a very common problem in traditional approaches, known as error propagation. Worrying about the high computational cost of this approach have been tested several types of optimization methods in order to find a good balance between good estimates and processing time. The results presented in this work show the success of this system in different environments

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This work presents a cooperative navigation systemof a humanoid robot and a wheeled robot using visual information, aiming to navigate the non-instrumented humanoid robot using information obtained from the instrumented wheeled robot. Despite the humanoid not having sensors to its navigation, it can be remotely controlled by infra-red signals. Thus, the wheeled robot can control the humanoid positioning itself behind him and, through visual information, find it and navigate it. The location of the wheeled robot is obtained merging information from odometers and from landmarks detection, using the Extended Kalman Filter. The marks are visually detected, and their features are extracted by image processing. Parameters obtained by image processing are directly used in the Extended Kalman Filter. Thus, while the wheeled robot locates and navigates the humanoid, it also simultaneously calculates its own location and maps the environment (SLAM). The navigation is done through heuristic algorithms based on errors between the actual and desired pose for each robot. The main contribution of this work was the implementation of a cooperative navigation system for two robots based on visual information, which can be extended to other robotic applications, as the ability to control robots without interfering on its hardware, or attaching communication devices

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This work deals with the development of a prototype of a helicopter quadrotor for monitoring applications in oil facilities. Anomaly detection problems can be resolved through monitoringmissions performed by a suitably instrumented quadrotor, i.e. infrared thermosensors should be embedded. The proposed monitoring system aims to reduce accidents as well as to make possible the use of non-destructive techniques for detection and location of leaks caused by corrosion. To this end, the implementation of a prototype, its stabilization and a navigation strategy have been proposed. The control strategy is based on dividing the problem into two control hierarchical levels: the lower level stabilizes the angles and the altitude of the vehicle at the desired values, while the higher one provide appropriate references signals to the lower level in order the quadrotor performs the desired movements. The navigation strategy for helicopter quadrotor is made using information provided by a acquisition image system (monocular camera) embedded onto the helicopter. Considering that the low-level control has been solved, the proposed vision-based navigation technique treats the problem as high level control strategies, such as, relative position control, trajectory generation and trajectory tracking. For the position control we use a control technique for visual servoing based on image features. The trajectory generation is done in a offline step, which is a visual trajectory composed of a sequence of images. For the trajectory tracking problem is proposed a control strategy by continuous servovision, thus enabling a navigation strategy without metric maps. Simulation and experimental results are presented to validate the proposal

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Visual Odometry is the process that estimates camera position and orientation based solely on images and in features (projections of visual landmarks present in the scene) extraced from them. With the increasing advance of Computer Vision algorithms and computer processing power, the subarea known as Structure from Motion (SFM) started to supply mathematical tools composing localization systems for robotics and Augmented Reality applications, in contrast with its initial purpose of being used in inherently offline solutions aiming 3D reconstruction and image based modelling. In that way, this work proposes a pipeline to obtain relative position featuring a previously calibrated camera as positional sensor and based entirely on models and algorithms from SFM. Techniques usually applied in camera localization systems such as Kalman filters and particle filters are not used, making unnecessary additional information like probabilistic models for camera state transition. Experiments assessing both 3D reconstruction quality and camera position estimated by the system were performed, in which image sequences captured in reallistic scenarios were processed and compared to localization data gathered from a mobile robotic platform

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This work proposes a kinematic control scheme, using visual feedback for a robot arm with five degrees of freedom. Using computational vision techniques, a method was developed to determine the cartesian 3d position and orientation of the robot arm (pose) using a robot image obtained through a camera. A colored triangular label is disposed on the robot manipulator tool and efficient heuristic rules are used to obtain the vertexes of that label in the image. The tool pose is obtained from those vertexes through numerical methods. A color calibration scheme based in the K-means algorithm was implemented to guarantee the robustness of the vision system in the presence of light variations. The extrinsic camera parameters are computed from the image of four coplanar points whose cartesian 3d coordinates, related to a fixed frame, are known. Two distinct poses of the tool, initial and final, obtained from image, are interpolated to generate a desired trajectory in cartesian space. The error signal in the proposed control scheme consists in the difference between the desired tool pose and the actual tool pose. Gains are applied at the error signal and the signal resulting is mapped in joint incrementals using the pseudoinverse of the manipulator jacobian matrix. These incrementals are applied to the manipulator joints moving the tool to the desired pose

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In conventional robot manipulator control, the desired path is specified in cartesian space and converted to joint space through inverse kinematics mapping. The joint references generated by this mapping are utilized for dynamic control in joint space. Thus, the end-effector position is, in fact, controlled indirectly, in open-loop, and the accuracy of grip position control directly depends on the accuracy of the available kinematic model. In this report, a new scheme for redundant manipulator kinematic control, based on visual servoing is proposed. In the proposed system, a robot image acquired through a CCD camera is processed in order to compute the position and orientation of each link of the robot arm. The robot task is specified as a temporal sequence of reference images of the robot arm. Thus, both the measured pose and the reference pose are specified in the same image space, and its difference is utilized to generate a cartesian space error for kinematic control purposes. The proposed control scheme was applied in a four degree-of-freedom planar redundant robot arm, experimental results are shown

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This work uses computer vision algorithms related to features in the identification of medicine boxes for the visually impaired. The system is for people who have a disease that compromises his vision, hindering the identification of the correct medicine to be ingested. We use the camera, available in several popular devices such as computers, televisions and phones, to identify the box of the correct medicine and audio through the image, showing the poor information about the medication, such: as the dosage, indication and contraindications of the medication. We utilize a model of object detection using algorithms to identify the features in the boxes of drugs and playing the audio at the time of detection of feauteres in those boxes. Experiments carried out with 15 people show that where 93 % think that the system is useful and very helpful in identifying drugs for boxes. So, it is necessary to make use of this technology to help several people with visual impairments to take the right medicine, at the time indicated in advance by the physician