-
Barry Brummit and
Martial Hebert.
Experiments in Autonomous Driving with Concurrent Goals and Multiple Vehicles.
In Proceedings of the 1998 IEEE International Conference on Robotics and Automation (ICRA '98),
volume 3,
pages 1895 - 1902,
May 1998.
(pdf)
@inproceedings{Brummit_1998_1201,
author = "Barry Brummit and Martial Hebert",
title = "Experiments in Autonomous Driving with Concurrent Goals and Multiple Vehicles",
booktitle = "Proceedings of the 1998 IEEE International Conference on Robotics and Automation (ICRA '98)",
month = "May",
year = "1998",
volume = "3",
pages = "1895 - 1902",
pdf ="http://www.ri.cmu.edu/pub_files/pub2/brumitt_barry_1998_1/brumitt_barry_1998_1.pdf"
}
-
Owen Carmichael and
Martial Hebert.
Unconstrained Registration of Large 3-D Point Sets for Complex Model Building.
In Proceedings 1998 IEEE/RSJ International Conference On Intelligent Robotic Systems (IROS '98),
volume 1,
pages 360 - 367,
October 1998.
(url)
(pdf)
Keywords:
3-D perception,
geometric modeling.
Abstract: "We present a method for building models of complex environments from range data gathered at multiple viewpoints. Our approach is unique in that no prior knowledge of the relative positions of the viewpoints is needed in order to register data from them. Furthermore, we present a technique for specification and utilization of so-called "common-sense" constraints on the transformations between views to improve the accuracy and speed of the registration process. Results are shown from our effort to map a 60 m by 20 m multiple-room storage area containing a cluttered array of objects."
@inproceedings{Carmichael_1998_1293,
author = "Owen Carmichael and Martial Hebert",
title = "Unconstrained Registration of Large 3-D Point Sets for Complex Model Building",
booktitle = "Proceedings 1998 IEEE/RSJ International Conference On Intelligent Robotic Systems (IROS '98)",
month = "October",
year = "1998",
volume = "1",
pages = "360 - 367",
pdf ="http://www.ri.cmu.edu/pub_files/pub2/carmichael_owen_1998_1/carmichael_owen_1998_1.pdf",
abstract="We present a method for building models of complex environments from range data gathered at multiple viewpoints. Our approach is unique in that no prior knowledge of the relative positions of the viewpoints is needed in order to register data from them. Furthermore, we present a technique for specification and utilization of so-called "common-sense" constraints on the transformations between views to improve the accuracy and speed of the registration process. Results are shown from our effort to map a 60 m by 20 m multiple-room storage area containing a cluttered array of objects.",
url="http://www.ri.cmu.edu/pubs/pub_1293.html",
keywords="3-D perception, geometric modeling",
}
-
Peng Chang and
Martial Hebert.
Omni-directional Visual Servoing for Human-Robot interaction.
In Proceedings of the 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '98),
volume 3,
pages 1801 - 1807,
October 1998.
(pdf)
@inproceedings{Chang_1998_1296,
author = "Peng Chang and Martial Hebert",
title = "Omni-directional Visual Servoing for Human-Robot interaction",
booktitle = "Proceedings of the 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '98)",
month = "October",
year = "1998",
volume = "3",
pages = "1801 - 1807",
pdf ="http://www.ri.cmu.edu/pub_files/pub2/chang_peng_1998_1/chang_peng_1998_1.pdf"
}
-
Matthew Deans,
Stewart Moorehead,
Benjamin Shamah,
Kimberly Shillcutt, and
William Red L. Whittaker.
A Concept for Robotic Lunar South Pole Exploration.
In Proceedings of the Sixth International Conference and Exposition on Engineering, Construction, and Operations in Space (Space '98),
pages 333-339,
April 1998.
@inproceedings{Deans_1998_857,
author = "Matthew Deans and Stewart Moorehead and Benjamin Shamah and Kimberly Shillcutt and William Red L. Whittaker",
title = "A Concept for Robotic Lunar South Pole Exploration",
booktitle = "Proceedings of the Sixth International Conference and Exposition on Engineering, Construction, and Operations in Space (Space '98)",
month = "April",
year = "1998",
pages = "333-339"
}
-
L.J. Denes,
M. Gottlieb,
B. Kaminsky, and
Daniel Huber.
Spectro-Polarimetric Imaging for Object Recognition.
In Proceedings of Applied Imagery Pattern Recognition (AIPR '97),
volume 3240,
pages 8-18,
1998.
SPIE.
Keywords:
Multi-spectral imaging,
object recognition,
Acousto-optical tunable filters.
@inproceedings{Denes_1998_539,
author = "L.J. Denes and M. Gottlieb and B. Kaminsky and Daniel Huber",
title = "Spectro-Polarimetric Imaging for Object Recognition",
booktitle = "Proceedings of Applied Imagery Pattern Recognition (AIPR '97)",
year = "1998",
volume = "3240",
pages = "8-18",
publisher = "SPIE",
keywords="Multi-spectral imaging, object recognition, Acousto-optical tunable filters"
}
-
John Hancock,
Martial Hebert, and
Charles Thorpe.
Laser Intensity-Based Obstacle Detection.
In Proceedings 1998 IEEE/RSJ International Conference On Intelligent Robotic Systems (IROS '98),
volume 3,
pages 1541 - 1546,
October 1998.
(pdf)
@inproceedings{Hancock_1998_867,
author = "John Hancock and Martial Hebert and Charles Thorpe",
title = "Laser Intensity-Based Obstacle Detection",
booktitle = "Proceedings 1998 IEEE/RSJ International Conference On Intelligent Robotic Systems (IROS '98)",
month = "October",
year = "1998",
volume = "3",
pages = "1541 - 1546",
pdf ="http://www.ri.cmu.edu/pub_files/pub2/hancock_john_1998_1/hancock_john_1998_1.pdf"
}
-
John Hancock,
Dirk Langer,
Martial Hebert,
R. Sullivan,
D. Ingimarson,
E. Hoffman,
M. Mettenleiter, and
C. Froehlich.
Active laser radar for high-performance measurements.
In Proceedings of the 1998 IEEE International Conference on Robotics and Automation (ICRA '98),
volume 2,
pages 1465 - 1470,
May 1998.
(pdf)
@inproceedings{Hancock_1998_3600,
author = "John Hancock and Dirk Langer and Martial Hebert and R. Sullivan and D. Ingimarson and E. Hoffman and M. Mettenleiter and C. Froehlich",
title = "Active laser radar for high-performance measurements",
booktitle = "Proceedings of the 1998 IEEE International Conference on Robotics and Automation (ICRA '98)",
month = "May",
year = "1998",
volume = "2",
pages = "1465 - 1470",
pdf ="http://www.ri.cmu.edu/pub_files/pub2/hancock_john_1998_2/hancock_john_1998_2.pdf"
}
-
Martial Hebert.
Shape Recognition: Recent Techniques and Applications.
In Proceedings of RFIA '98,
1998.
(pdf)
@inproceedings{Hebert_1998_4254,
author = "Martial Hebert",
title = "Shape Recognition: Recent Techniques and Applications",
booktitle = "Proceedings of RFIA '98",
year = "1998",
pdf ="http://www.ri.cmu.edu/pub_files/pub3/hebert_martial_1998_1/hebert_martial_1998_1.pdf"
}
-
Martial Hebert,
Anthony (Tony) Stentz, and
Charles Thorpe.
Mobility Planning for Autonomous Navigation of Multiple Robots in Unstructured Environments.
In Proceedings of ISIC/CIRA/ISAS Joint Conference on the Science and Technology of Intelligent Systems,
pages 652 - 657,
September 1998.
(pdf)
@inproceedings{Hebert_1998_2278,
author = "Martial Hebert and Anthony (Tony) Stentz and Charles Thorpe",
title = "Mobility Planning for Autonomous Navigation of Multiple Robots in Unstructured Environments",
booktitle = "Proceedings of ISIC/CIRA/ISAS Joint Conference on the Science and Technology of Intelligent Systems",
month = "September",
year = "1998",
pages = "652 - 657",
pdf ="http://www.ri.cmu.edu/pub_files/pub2/hebert_martial_1998_1/hebert_martial_1998_1.pdf"
}
-
Prem Janardhan,
Martial Hebert, and
Katsushi Ikeuchi.
The space-time map applied to Drosophila embryogenesis.
In Proceedings of the Workshop on Biomedical Image Analysis,
pages 144 - 153,
June 1998.
(pdf)
@inproceedings{Janardhan_1998_3602,
author = "Prem Janardhan and Martial Hebert and Katsushi Ikeuchi",
title = "The space-time map applied to Drosophila embryogenesis",
booktitle = "Proceedings of the Workshop on Biomedical Image Analysis",
month = "June",
year = "1998",
pages = "144 - 153",
pdf ="http://www.ri.cmu.edu/pub_files/pub2/janardhan_prem_1998_1/janardhan_prem_1998_1.pdf"
}
-
Andrew Johnson,
Owen Carmichael,
Daniel Huber, and
Martial Hebert.
Toward a General 3-D Matching Engine: Multiple Models, Complex Scenes, and Efficient Data Filtering.
In Proceedings of the 1998 Image Understanding Workshop (IUW),
pages 1097-1107,
November 1998.
(url)
(pdf)
Keywords:
3-D perception,
geometric modeling.
Abstract: "We present a 3-D shape-based object recognition system for simultaneous recognition of multiple objects in scenes containing clutter and occlusion. Recognition is based on matching surfaces by matching points using the spin-image representation. The spin-image is a data level shape descriptor that is used to match surfaces represented as surface meshes. Starting with the general matching framework introduced earlier, we present a compression scheme for spin-images; this scheme results in efficient multiple object recognition which we verify with results showing the simultaneous recognition of multiple objects from a library of 20 models. In addition, we demonstrate the robust performance of recognition in the presence of clutter and occlusion through analysis of recognition trials on 100 scenes. We address efficiency and generality through two extensions to the basic matching scheme: fast filtering of scene points and processing of general data sets."
@inproceedings{Johnson_1998_2279,
author = "Andrew Johnson and Owen Carmichael and Daniel Huber and Martial Hebert",
title = "Toward a General 3-D Matching Engine: Multiple Models, Complex Scenes, and Efficient Data Filtering",
booktitle = "Proceedings of the 1998 Image Understanding Workshop (IUW)",
month = "November",
year = "1998",
pages = "1097-1107",
keywords="3-D perception, geometric modeling",
pdf ="http://www.ri.cmu.edu/pub_files/pub2/johnson_andrew_1998_1/johnson_andrew_1998_1.pdf",
url="http://www.ri.cmu.edu/pubs/pub_2279.html",
abstract="We present a 3-D shape-based object recognition system for simultaneous recognition of multiple objects in scenes containing clutter and occlusion. Recognition is based on matching surfaces by matching points using the spin-image representation. The spin-image is a data level shape descriptor that is used to match surfaces represented as surface meshes. Starting with the general matching framework introduced earlier, we present a compression scheme for spin-images; this scheme results in efficient multiple object recognition which we verify with results showing the simultaneous recognition of multiple objects from a library of 20 models. In addition, we demonstrate the robust performance of recognition in the presence of clutter and occlusion through analysis of recognition trials on 100 scenes. We address efficiency and generality through two extensions to the basic matching scheme: fast filtering of scene points and processing of general data sets."
}
-
Andrew Johnson and
Martial Hebert.
Efficient multiple model recognition in cluttered 3-D scenes.
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR '98),
pages 671 - 677,
June 1998.
(pdf)
@inproceedings{Johnson_1998_3601,
author = "Andrew Johnson and Martial Hebert",
title = "Efficient multiple model recognition in cluttered 3-D scenes",
booktitle = "Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR '98)",
month = "June",
year = "1998",
pages = "671 - 677",
pdf ="http://www.ri.cmu.edu/pub_files/pub2/johnson_andrew_1998_2/johnson_andrew_1998_2.pdf"
}
-
Henry Schneiderman and
Takeo Kanade.
Probabilistic Modeling of Local Appearance and Spatial Relationships for Object Recognition.
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR '98),
pages 45-51,
July 1998.
(url)
Abstract: "In this paper, we describe an algorithm for object recognition that explicitly models and estimates the posterior probability function, P(object|image). We have chosen a functional form of the posterior probability function that captures the joint statistics of local appearance and position on the object as well as the statistics of local appearance in the visual world at large. We use a discrete representation of local appearance consisting of approximately 1,000,000 patterns. We compute an estimate of P(object|image) in closed form by counting the frequency of occurrence of these patterns over various sets of training images. We have used this method for detecting human faces from frontal and profile views. The algorithm for frontal views has shown a detection rate of 93.0 percent with 88 false alarms on a set of 125 images containing 483 faces combining the MIT test set of Sung and Poggio with the CMU test sets of Rowley, Baluja, and Kanade. The algorithm for detection of profile views has also demonstrated promising results"
@inproceedings{Schneiderman_1998_543,
author = "Henry Schneiderman and Takeo Kanade",
title = "Probabilistic Modeling of Local Appearance and Spatial Relationships for Object Recognition",
booktitle = "Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR '98)",
month = "July",
year = "1998",
pages = "45-51",
url = "http://www.ri.cmu.edu/pubs/pub_543.html",
abstract="In this paper, we describe an algorithm for object recognition that explicitly models and estimates the posterior probability function, P(object|image). We have chosen a functional form of the posterior probability function that captures the joint statistics of local appearance and position on the object as well as the statistics of local appearance in the visual world at large. We use a discrete representation of local appearance consisting of approximately 1,000,000 patterns. We compute an estimate of P(object|image) in closed form by counting the frequency of occurrence of these patterns over various sets of training images. We have used this method for detecting human faces from frontal and profile views. The algorithm for frontal views has shown a detection rate of 93.0 percent with 88 false alarms on a set of 125 images containing 483 faces combining the MIT test set of Sung and Poggio with the CMU test sets of Rowley, Baluja, and Kanade. The algorithm for detection of profile views has also demonstrated promising results"
}
-
Yutaka Takeuchi and
Martial Hebert.
Finding Images of Landmarks in Video Sequences.
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR '98),
June 1998.
(pdf)
@inproceedings{Takeuchi_1998_3133,
author = "Yutaka Takeuchi and Martial Hebert",
title = "Finding Images of Landmarks in Video Sequences",
booktitle = "Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR '98)",
month = "June",
year = "1998",
pdf ="http://www.ri.cmu.edu/pub_files/pub2/takeuchi_yutaka_1998_1/takeuchi_yutaka_1998_1.pdf"
}
-
Victor S.H. Wen,
Owen Carmichael,
Hiroshi Yamashita, and
Andrew R. Neureuther.
Rigorous Simulation of Statistical Electron-Electron Interactions with Fast Multipole Acceleration and a Network of Workstations.
In Proceedings 1998 International Conference On Electron, ion and Photon Beam Technology and Nanofabrication,
1998.
(url)
@inproceedings{Wen_1998_1294,
author = "Victor S.H. Wen and Owen Carmichael and Hiroshi Yamashita and Andrew R. Neureuther",
title = "Rigorous Simulation of Statistical Electron-Electron Interactions with Fast Multipole Acceleration and a Network of Workstations",
booktitle = "Proceedings 1998 International Conference On Electron, ion and Photon Beam Technology and Nanofabrication",
year = "1998",
url="http://www.ri.cmu.edu/pubs/pub_1294.html"
}
-
Dongmei Zhang,
Martial Hebert,
Andrew Johnson, and
Yanxi Liu.
On Generating Multi-resolution Representations of Polygonal Meshes.
In Proc. ICCV '98,
1998.
(pdf)
@inproceedings{Zhang_1998_1184,
author = "Dongmei Zhang and Martial Hebert and Andrew Johnson and Yanxi Liu",
title = "On Generating Multi-resolution Representations of Polygonal Meshes",
booktitle = "Proc. ICCV '98",
year = "1998",
pdf ="http://www.ri.cmu.edu/pub_files/pub1/zhang_dongmei_1998_1/zhang_dongmei_1998_1.pdf"
}