Ernest L. (Ernie) Hall is Professor Emeritus of Computer Science and Mechanical Engineering in the School of Dynamic Systems at the University of Cincinnati. He was formerly the Paul E. Geier Professor of Robotics in the Department of Mechanical Engineering at the University of Cincinnati and Professor in the Department of Computer Science. He has also held joint appointments with the Department of Electrical and Computer Engineering and Computer Science and collaborates with many faculty and students in the College of Engineering, the College of Medicine, the College of Education, the College of Applied Science and the College of Design, Art, Architecture and Planning and local and national and international civic groups including the First Lego League, the Ohio Academy of Science and the Society of Manufacturing Engineers.http://en.wikipedia.org/wiki/Ernest_Lenard_Hall
<div class="eventBoxedText"> <em><strong>Onsite Proceedings Due Dates... more <div class="eventBoxedText"> <em><strong>Onsite Proceedings Due Dates:</strong></em> <br/><br/>Abstract Due: <strong>16 June 2008</strong> <br/>Manuscript Due: <strong>27 October 2008</strong>.
Abstract : This report summarizes the development of map matching techniques for precision guided... more Abstract : This report summarizes the development of map matching techniques for precision guided reentry vehicles using measurements extracted from data taken by sensors with different operating characteristics and under different viewing geometries. The case of matching optical to side looking radar images is considered in detail. Map matching with hierarchical search was developed and practical algorithms implemented in matching scences with a wide variety of contents. Theoretical analyses, which were subsequently verified by experiment, indicated that applications of this method have made the difficult task of optical to radar map matching possible at a computational efficiency of 3 orders in magnitude higher than current map matching methods. Map matching with this method has also resulted in a high probability of a match at a relatively low probability of false fix. Also included are analyses to determine perpective, scaling and rotational parameters from data extracted from image set. Geometric transformation for the correction of viewing geometry can be made using these parameters. Intensity transformation using sensor-dependent parameters was also developed. Practical algorithms were implemented for the corrections of the intensity of several sets of radar images.
An analysis is made of bearing surface appearance defect inspection. The intrinsic handicap of th... more An analysis is made of bearing surface appearance defect inspection. The intrinsic handicap of the most widely used analog thresholding technique for improving inspection reliability is demonstrated, and a test machine vision inspection system is proposed. The system utilizes a self-scanning photodiode array as the light sensor, a special mechanism for unrolling the roller surfaces, and a PC/AT for image processing. The performance of the system is controlled by a UC-Z80 single-board computer. For image processing, three novel methods were used: (1) average-based shading correction, (2) background model for pollution erasing, and (3) a local iterative operator for defect and background clustering. These algorithms make the defect segmentation very reliable, even in the presence of oil pollution. For different precision rollers, the system can easily be adapted by altering the input parameters. Test results show that the system is capable of inspecting most surface defects such as cracks, pits, rust, or scratches with high reliability. The minimum crack width which can presently be detected is 25 μm
IEEE Transactions on Pattern Analysis and Machine Intelligence, May 1, 1991
The location of surfaces using stereo imaging techniques is an important area of research for rob... more The location of surfaces using stereo imaging techniques is an important area of research for robot guidance and machine inspection applications, The underlying geometry of finite focal length stereo pinhole cameras is investigated. This is the model used in both active and passive stereo imaging systems. It is shown that the points of intersecting views from the pinhole models result in conic sections. This information is used to locate quadric surfaces in the inspection space. When the projected fringe pattern is encoded to a quadric surface, the underlying intersection mapping can be used to estimate the position of the surface. Subsets of most smooth objects can be fitted to a conic section. For inspection of smooth surfaces with projection moire techniques, this fringe interpretation method would allow for correct placement of the object. >
IEEE Transactions on Pattern Analysis and Machine Intelligence, Jul 1, 1979
The problem of matching two images of the same scene, taken by different sensors under different ... more The problem of matching two images of the same scene, taken by different sensors under different viewing geometries, is a challenging problem in the field of image processing and pattern recognition. The scenes are usually transformed so drastically by the different viewing geometries and sensor characteristics that it is extremely difficult, if not impossible, to match the original images without the proper data processing. Geometric and intensity transformations must be performed to bring the matching elements and their intensity into a one-to-one correspondence. Objects of interest represented by subimages of one scene were located in the other using scene matching techniques with intensity difference and edge features as measurement features. Performance characteristics of the matches by these techniques are presented in terms of the probability of a match as a function of the probability of false fix.
<div class="eventBoxedText"> <em><strong>Onsite Proceedings Due Dates... more <div class="eventBoxedText"> <em><strong>Onsite Proceedings Due Dates:</strong></em> <br/><br/>Abstract Due: <strong>16 June 2008</strong> <br/>Manuscript Due: <strong>27 October 2008</strong>.
Abstract : This report summarizes the development of map matching techniques for precision guided... more Abstract : This report summarizes the development of map matching techniques for precision guided reentry vehicles using measurements extracted from data taken by sensors with different operating characteristics and under different viewing geometries. The case of matching optical to side looking radar images is considered in detail. Map matching with hierarchical search was developed and practical algorithms implemented in matching scences with a wide variety of contents. Theoretical analyses, which were subsequently verified by experiment, indicated that applications of this method have made the difficult task of optical to radar map matching possible at a computational efficiency of 3 orders in magnitude higher than current map matching methods. Map matching with this method has also resulted in a high probability of a match at a relatively low probability of false fix. Also included are analyses to determine perpective, scaling and rotational parameters from data extracted from image set. Geometric transformation for the correction of viewing geometry can be made using these parameters. Intensity transformation using sensor-dependent parameters was also developed. Practical algorithms were implemented for the corrections of the intensity of several sets of radar images.
An analysis is made of bearing surface appearance defect inspection. The intrinsic handicap of th... more An analysis is made of bearing surface appearance defect inspection. The intrinsic handicap of the most widely used analog thresholding technique for improving inspection reliability is demonstrated, and a test machine vision inspection system is proposed. The system utilizes a self-scanning photodiode array as the light sensor, a special mechanism for unrolling the roller surfaces, and a PC/AT for image processing. The performance of the system is controlled by a UC-Z80 single-board computer. For image processing, three novel methods were used: (1) average-based shading correction, (2) background model for pollution erasing, and (3) a local iterative operator for defect and background clustering. These algorithms make the defect segmentation very reliable, even in the presence of oil pollution. For different precision rollers, the system can easily be adapted by altering the input parameters. Test results show that the system is capable of inspecting most surface defects such as cracks, pits, rust, or scratches with high reliability. The minimum crack width which can presently be detected is 25 μm
IEEE Transactions on Pattern Analysis and Machine Intelligence, May 1, 1991
The location of surfaces using stereo imaging techniques is an important area of research for rob... more The location of surfaces using stereo imaging techniques is an important area of research for robot guidance and machine inspection applications, The underlying geometry of finite focal length stereo pinhole cameras is investigated. This is the model used in both active and passive stereo imaging systems. It is shown that the points of intersecting views from the pinhole models result in conic sections. This information is used to locate quadric surfaces in the inspection space. When the projected fringe pattern is encoded to a quadric surface, the underlying intersection mapping can be used to estimate the position of the surface. Subsets of most smooth objects can be fitted to a conic section. For inspection of smooth surfaces with projection moire techniques, this fringe interpretation method would allow for correct placement of the object. >
IEEE Transactions on Pattern Analysis and Machine Intelligence, Jul 1, 1979
The problem of matching two images of the same scene, taken by different sensors under different ... more The problem of matching two images of the same scene, taken by different sensors under different viewing geometries, is a challenging problem in the field of image processing and pattern recognition. The scenes are usually transformed so drastically by the different viewing geometries and sensor characteristics that it is extremely difficult, if not impossible, to match the original images without the proper data processing. Geometric and intensity transformations must be performed to bring the matching elements and their intensity into a one-to-one correspondence. Objects of interest represented by subimages of one scene were located in the other using scene matching techniques with intensity difference and edge features as measurement features. Performance characteristics of the matches by these techniques are presented in terms of the probability of a match as a function of the probability of false fix.
Uploads