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Owen Carmichael
Visiting Researcher

No longer a member of RI.

For more information, see my personal homepage.

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I received a PhD. in Robotics from CMU in 2003. I am currently a postdoc at the University of Pittsburgh Medical Center and a visiting researcher at CMU.

I do research in computer vision, 3D modeling, and, more recently, neuroscience. The overarching theme of my research over the past several years has been using shape characteristics to make inferences about objects and scenes as they appear in a variety of image modalities. Currently, I am working on predicting risk of Alzheimer's Disease based on shape analysis of compartments in the brain; previously, I used shape properties to recognize complex objects in photographs and range data. I also worked on making 3D models from unstructured sets of range images.

3-D perception, computer vision, geometric modeling, machine learning, medical applications, medical imaging, and object recognition

I recently started helping to maintain the Computer Vision Home Page . I also maintain the Wiry Object Recognition Database.

• 3D Computer Vision Group - We are developing techniques for representing, comparing, and matching general, free-form surfaces.
• Biomedical Image Analysis - We are an interdisciplinary team interested in develping algorithms for biomedical image analysis under an image feature-based machine learning framework.
• Vision and Mobile Robotics Lab - Our group studies fundamental problems of Computer Vision and ground mobile robotics.

• 3D Object Recognition - We are applying our techniques for surface representation and matching to object recognition problems; for example, we have used 3D object recognition as part of the Artisan system for interior mapping.
• Humanoid Vision - We are adding visual recognition and navigation to Honda's humanoid robots
• Model Building - Surface registration is applied to a variety of problems, including object modelling and mapping of large areas.
• Predicting Risk of Alzheimer's Disease From Shape Features - The goal of this project is to use computer vision techniques to help predict risk of Alzheimer's Disease in elderly patients.

• Acceleration of cerebral ventricular expansion in the Cardiovascular Health Study
  O. Carmichael, L.H. Kuller, O.L. Lopez, P.M. Thompson, R.A. Dutton, A. Lu, S.E. Lee, J.Y. Lee, H.J. Aizenstein, C.C. Meltzer, Y. Liu, A.W. Toga, and J.T. Becker
  Neurobiology of Aging, Vol. 28, No. 9, September, 2007, pp. 1316 - 1321.

• Feature-based vs. Intensity-based Neuroimage Registration: Comprehensive Comparison Using Mutual Information
  L. Teverovskiy, O. Carmichael, H. Aizenstein, N. Lazar, and Y. Liu
  2007 IEEE International Symposium on Biomedical Imaging, April, 2007.

• Ventricular volume and dementia progression in the Cardiovascular Health Study
  O. Carmichael, L.H. Kuller, O.L. Lopez, P.M. Thompson, A. Lu, S.E. Lee, J.Y. Lee, H.J. Aizenstein, C.C. Meltzer, Y. Liu, A.W. Toga, and J.T. Becker
  Neurobiology of Aging, Vol. 28, No. 3, February, 2007, pp. 389 - 397.

• Cerebral Ventricular Changes Associated With Transitions Between Normal Cognitive Function, Mild Cognitive Impairment, and Dementia
  O. Carmichael, L.H. Kuller, O. Lopez, P.M. Thompson, R.A. Dutton, A. Lu, S.E. Lee, J.Y. Lee, H. Aizenstein, C. Meltzer, Y. Liu, A.W. Toga, and J. Becker
  Alzheimer's Disease and Associated Disorders, Vol. 21, No. 1, January, 2007, pp. 14 - 24.

• Mapping Ventricular Changes Related to Dementia and Mild Cognitive Impairment in a Large Community-Based Cohort
  O. Carmichael, P.M. Thompson, R.A. Dutton, A. Lu, S.E. Lee, J.Y. Lee, L.H. Kuller, O. Lopez, H. Aizenstein, C. CidisMeltzer, Y. Liu, A.W. Toga, and J. Becker
  3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006, April, 2006, pp. 315 - 318.
  Download: pdf [557 KB] copyrighted

• Atlas-Based Hippocampus Segmentation In Alzheimer's Disease and Mild Cognitive Impairment
  O. Carmichael, H. Aizenstein, S.W. Davis, J. Becker, P.M. Thompson, C. Meltzer, and Y. Liu
  NeuroImage, No. 27, June, 2005, pp. 979 - 990. [Abstract]
  Download: pdf [734 KB] copyrighted

• Atlas-Based Hippocampus Segmentation In Alzheimer's Disease and Mild Cognitive Impairment
  O. Carmichael, H. Aizenstein, S.W. Davis, J. Becker, P.M. Thompson, C. Meltzer, and Y. Liu
  tech. report CMU-RI-TR-04-53, Robotics Institute, Carnegie Mellon University, December, 2004. [Abstract]
  Download: pdf [3962 KB] copyrighted

• Discriminative MR Image Feature Analysis for Automatic Schizophrenia and Alzheimer's Disease Classification
  Y. Liu, L. Teverovskiy, O. Carmichael, R. Kikinis, M. Shenton, C.S. Carter, V.A. Stenger, S. Davis, H. Aizenstein, J. Becker, O. Lopez, and C. Meltzer
  Proceedings of the 7th International Conference on MedicalImage Computing and Computer Aided Intervention (MICCAI '04), October, 2004, pp. 393 - 401. [Abstract]
  Download: pdf [993 KB] copyrighted

• Discriminative MR Image Feature Analysis for Automatic Schizophrenia and Alzheimer's Disease Classification
  Y. Liu, L. Teverovskiy, O. Carmichael, R. Kikinis, M. Shenton, C.S. Carter, V.A. Stenger, S. Davis, H. Aizenstein, J. Becker, O. Lopez, and C. Meltzer
  tech. report CMU-RI-TR-04-15, Robotics Institute, Carnegie Mellon University, March, 2004.
  Download: pdf [1214 KB] copyrighted

• Discriminative Techniques For The Recognition Of Complex-Shaped Objects
  O. Carmichael
  doctoral dissertation, tech. report CMU-RI-TR-03-34, Robotics Institute, Carnegie Mellon University, September, 2003. [Abstract]
  Download: pdf [7484 KB] copyrighted