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  • 1
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    Graphics Recognition Methods and Applications : First International Workshop University Park, PA, USA, August 10–11, 1995 Selected Papers (1996)
    Berlin ; Heidelberg : Springer
    Details
    Keywords: Dokument-Bildanalyse - Engineering Drawings - Erkennungsalgorithmen - Graphics Recognition - Ingenieurzeichnungen ; Landkarteninterpretation ; Map Interpretation ; Recognition Algorithms ; algorithms ; cognition ; construction ; knowledge ; learning ; model ; verificat
    Description / Table of Contents: This book contains revised refereed papers selected from the presentations at the First International Workshop on Graphics Recognition, held in University Park, PA, USA, in August 1995. The 23 full papers included are divided into sections on low-level processing, vectorization and segmentation of scanned graphics documents; symbol and diagram recognition, map processing, interpretation of engineering drawings. Each section contains both survey articles to assess the state of the art, and research papers presenting novel results. One section is devoted to a contest held to determine the best algorithm for detection of dashed lines in drawings. The final chapter summarizes the conclusions and recommendations of the discussions held during the workshop.
    Pages: Online-Ressource (X, 314 pages)
    ISBN: 9783540683872
    URL: https://doi.org/10.1007/3-540-61226-2
    Language: English
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    E-BOOK
  • 2
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    Analysis of simulated image sequences from sensors for restricted-visibility operations (1991)
    In:  CASI
    Details
    Publication Date: 2013-08-31
    Description: A real time model of the visible output from a 94 GHz sensor, based on a radiometric simulation of the sensor, was developed. A sequence of images as seen from an aircraft as it approaches for landing was simulated using this model. Thirty frames from this sequence of 200 x 200 pixel images were analyzed to identify and track objects in the image using the Cantata image processing package within the visual programming environment provided by the Khoros software system. The image analysis operations are described.
    Keywords: MAN/SYSTEM TECHNOLOGY AND LIFE SUPPORT
    Type: Old Dominion Univ., NASA/American Society for Engineering Ed; Old Dominion Univ.,
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    NASA TECHNICAL REPORTS
  • 3
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    A model-based approach for detection of objects in low resolution passive-millimeter wave images (1993)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: We describe a model-based vision system to assist pilots in landing maneuvers under restricted visibility conditions. The system was designed to analyze image sequences obtained from a Passive Millimeter Wave (PMMW) imaging system mounted on the aircraft to delineate runways/taxiways, buildings, and other objects on or near runways. PMMW sensors have good response in a foggy atmosphere; but, their spatial resolution is very low. However, additional data such as airport model and approximate position and orientation of aircraft are available. We exploit these data to guide our model-based system to locate objects in the low resolution image and generate warning signals to alert the pilots. We also derive analytical expressions for the accuracy of the camera position estimate obtained by detecting the position of known objects in the image.
    Keywords: MAN/SYSTEM TECHNOLOGY AND LIFE SUPPORT
    Type: NASA. Ames Research Center, Proceedings of the Workshop on Augmented Visual Display (AVID) Research; p 313-328
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    NASA TECHNICAL REPORTS
  • 4
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    Wire Detection Algorithms for Navigation (2002)
    In:  CASI
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    Publication Date: 2019-07-13
    Description: In this research we addressed the problem of obstacle detection for low altitude rotorcraft flight. In particular, the problem of detecting thin wires in the presence of image clutter and noise was studied. Wires present a serious hazard to rotorcrafts. Since they are very thin, their detection early enough so that the pilot has enough time to take evasive action is difficult, as their images can be less than one or two pixels wide. Two approaches were explored for this purpose. The first approach involved a technique for sub-pixel edge detection and subsequent post processing, in order to reduce the false alarms. After reviewing the line detection literature, an algorithm for sub-pixel edge detection proposed by Steger was identified as having good potential to solve the considered task. The algorithm was tested using a set of images synthetically generated by combining real outdoor images with computer generated wire images. The performance of the algorithm was evaluated both, at the pixel and the wire levels. It was observed that the algorithm performs well, provided that the wires are not too thin (or distant) and that some post processing is performed to remove false alarms due to clutter. The second approach involved the use of an example-based learning scheme namely, Support Vector Machines. The purpose of this approach was to explore the feasibility of an example-based learning based approach for the task of detecting wires from their images. Support Vector Machines (SVMs) have emerged as a promising pattern classification tool and have been used in various applications. It was found that this approach is not suitable for very thin wires and of course, not suitable at all for sub-pixel thick wires. High dimensionality of the data as such does not present a major problem for SVMs. However it is desirable to have a large number of training examples especially for high dimensional data. The main difficulty in using SVMs (or any other example-based learning method) is the need for a very good set of positive and negative examples since the performance depends on the quality of the training set.
    Keywords: Cybernetics, Artificial Intelligence and Robotics
    Format: application/pdf
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