35. AIPR 2006: Washington, DC, USA

Session 1: 3D Imaging with Active Systems

• Robert Bonneau:
  A Rate Distortion Method for Beamforming in RF Image Formation. 1
  
• Zhixi Li, Ram M. Narayanan:
  Data Level Fusion of Multilook Inverse Synthetic Aperture Radar (ISAR) Images. 2
  
• Scott Papson, Ram M. Narayanan:
  Modeling of Target Shadows for SAR Image Classification. 3
  
• John Dammann, Brian Redman, William Ruff:
  3D Image Reconstruction and Range-Doppler Tracking with Chirped AM Ladar Data. 4
  
• Peter L. Cho, Hyrum Anderson, Robert Hatch, Prem Ramaswami:
  Real-Time 3D Ladar Imaging. 5
  
• Alexandru Vasile, Frederick R. Waugh, Daniel Greisokh, Richard M. Heinrichs:
  Automatic Alignment of Color Imagery onto 3D Laser Radar Data. 6
  
• James S. Albus, Tsai Hong, Tommy Chang:
  Segmentation and Classification of Human Forms using LADAR Data. 7
  
• Christoph Witzgall, Geraldine S. Cheok, Anthony J. Kearsley:
  Recovering Spheres from 3D Point Data. 8
  
• Jeffrey B. Colombe:
  3D shape estimation and texture generation using texture foreshortening cues. 9
  

Session 2: Model Based Image Analysis

• Manasi Datar, Girish Gopalakrishnan, Sohan Ranjan, Rakesh Mullick:
  Anatomically Guided Registration for Multimodal Images. 10
  
• Hitoshi Iyatomi, Hiroshi Oka, Masaru Tanaka, Koichi Ogawa:
  Automatic Identification of Shot Body Region from Clinical Photographies. 11
  
• Mike Foedisch, Raj Madhavan, Craig Schlenoff:
  Symbolic Road Perception-based Autonomous Driving in Urban Environments. 12
  
• Neeharika Gudur, Vijayan K. Asari:
  Gabor Wavelet Based Modular PCA Approach for Expression and Illumination Invariant Face Recognition. 13
  
• Praveen Sankaran, Vijayan K. Asari:
  Adaptive Thresholding Based Cell Segmentation for Cell-Destruction Activity Verification. 14
  

Invited Presentation

• Mark Berman:
  Some Unmixing Problems and Algorithms in Spectroscopy and Hyperspectral Imaging. 15
  

Session 3: Data Integration and Decision Support

• Alan P. Schaum:
  Autonomous Hyperspectral Target Detection with Quasi-Stationarity Violation at Background Boundaries. 16
  
• Carsten Oertel, Peter Bock:
  Identification of Objects-of-Interest in X-Ray Images. 17
  
• Andrea R. Seisler, Frances T. Sheehan:
  A Visualization Tool to convey Quantitative in vivo, 3D Knee Joint Kinematics. 18
  
• William Seisler, Neil Terry, Elmer Williams:
  Rapid Development of a Gunfire Detection Algorithm Using an Imagery Database. 19
  
• Thomas Taczak, Matthew Rundquist, Colin P. Cahill:
  Model Analysis Geometry Imagery Correlation Tool Kit (MAGIC-TK) for Model Development and Image Analysis. 20
  
• Doug Fraedrich:
  Validation Techniques for Image-Based Simulations. 21
  
• Douglas Haanpaa, Glenn J. Beach, Charles J. Cohen:
  An Automatic Target Classifier using Model Based Image Processing. 22
  

Session 4: Model Based Video Enhancement

• Yosef Gavriel Tirat-Gefen:
  Nonlinear 3D and 2D Transforms for Image Processing and Surveillance. 23
  
• Saibabu Arigela, K. Vijayan Asari:
  An Adaptive and Non Linear Technique for Enhancement of Extremely High Contrast Images. 24
  

Reception and Poster Session

• Vladimir J. Alarcon, John van der Zwaag, Robert J. Moorhead:
  Estimation of Estuary Phytoplankton using a Web-based Tool for Visualization of Hyper-spectral Images. 25
  

Session 5: Image Classification Tools and Algorithms

• Teddy Ko, Peter Bock:
  Viewpoint-Invariant and Illumination-Invariant Classification of Natural Surfaces Using General-Purpose Color and Texture Features with the ALISA dCRC Classifier. 26
  
• Bijay Shrestha, Charles G. O'Hara, Preeti Mali:
  Data Fusion, De-noising, and Filtering to Produce Cloud-Free High Quality Temporal Composites Employing Parallel Temporal Map Algebra. 27
  
• Sriram Swaminarayan, Lakshman Prasad:
  Rapid Automated Polygonal Image Decomposition. 28
  
• Rong Duan, Wei Jiang, Hong Man:
  Robust Adjusted Likelihood Function for Image Analysis. 29
  
• Vladimir J. Alarcon, Charles G. O'Hara:
  Advanced Techniques for Watershed Visualization. 30
  

Session 6: Technology Readiness of High-Performance Algorithms

• Rad Madhavan, Elena Messina:
  Performance Metrics for Intelligent Systems (PerMIS) 2006Workshop: Summary and Review. 31
  
• Scott E. Spetka, George O. Ramseyer, Richard W. Linderman:
  Application Development Framework for the Rapid Integration of High Performance Image Processing Algorithms. 32
  
• Scott K. Ralph, John M. Irvine, Magnús Snorrason, Steve Vanstone:
  An Image Metric-Based ATR Performance Prediction Testbed. 33
  
• Sung Chun Lee, Keith E. Price, Ramakant Nevatia, Tom Heinze, John M. Irvine:
  Semi-automated 3-D Building Extraction from Stereo Imagery. 34
  
• A. G. Amitha Perera, Anthony Hoogs, Chukka Srinivas, Glen Brooksby, Wensheng Hu:
  Evaluation of Algorithms for Tracking Multiple Objects in Video. 35
  
• David W. Tyler:
  Cramer-Rao Lower Bound Calculations for Registration of Linearly-Filtered Images. 36