Advanced Techniques for Scene Analysis

Abstract

The overall objective of this project is to develop advanced techniques for scene analysis. Specifically, the problems of image registration, tracking, and change detection are considered. In this project, the following new techniques have been developed: 1) robust feature-based algorithm for object tracking, 2) motion-segmentation-based technique for change detection, 3) a target detection algorithm that consists of image differencing, maximum-margin classifier, and diversity combining, 4) a rotation-invariant transform for change detection, 5) a depth-based image registration algorithm, 6) an image registration algorithm that leverages wavelet, 7) a machine learning algorithm to automatically recover 3D surface from sparse 3D points, 8) an automatic surface fitting method for 3D reconstruction from 2D video sequence, and 9) a depth-based image registration method via geometric segmentation.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2010
Accession Number
ADA530357

Entities

People

  • Dapeng Wu

Organizations

  • University of Florida

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Algorithms
  • Artificial Intelligence
  • Change Detection
  • Computational Complexity
  • Computer Graphics
  • Computer Vision
  • Coordinate Systems
  • Detection
  • Detectors
  • Feature Extraction
  • Image Processing
  • Image Registration
  • Information Science
  • Machine Learning
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Computer Vision.

Technology Areas

  • AI & ML