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Fortnight Feedback - PhD
Beatrice van Eden
- Part time PhD Student at the University of the Witwatersrand.
- Fulltime employee of the Council for Scientific and Industrial Research.
Scene Identification based on
Concept Learning
• Concept learning refers to a learning task in which a human or
machine learner is trained to classify objects by being shown a
set of example objects along with their class labels. The
learner simplifies what has been observed by condensing it in
the form of an example.
Index
• Methods for model-based 3D object
recognition (2012)
• Probabilistic Model Matching Techniques
• 3D model generation from a single view
• Automatic detection and tracking of
maritime objects
• Maritime Flash LIDAR Dataset
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
Probabilistic Model Matching
Techniques
• Challenge
• Solution concepts
3D model generation from a
single view
• Challenge
• Solution concepts
Automatic detection and
tracking of maritime objects
• Challenge
• Solution concepts
Maritime Flash LIDAR Dataset
• IOSB maritime flash LIDAR dataset and 3D model library (IOSB-
MFL)
Continued work
• Backtracks a bit.
• Go back to the technical sections of papers I already read
• Go through the pseudo code of the work in this papers
• Test one or two more things I am unsure about in the 2D object
detection I showed you last week.
Thank you

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Wits presentation 4_17062015

  • 1. Fortnight Feedback - PhD Beatrice van Eden - Part time PhD Student at the University of the Witwatersrand. - Fulltime employee of the Council for Scientific and Industrial Research.
  • 2. Scene Identification based on Concept Learning • Concept learning refers to a learning task in which a human or machine learner is trained to classify objects by being shown a set of example objects along with their class labels. The learner simplifies what has been observed by condensing it in the form of an example.
  • 3. Index • Methods for model-based 3D object recognition (2012) • Probabilistic Model Matching Techniques • 3D model generation from a single view • Automatic detection and tracking of maritime objects • Maritime Flash LIDAR Dataset Fraunhofer Institute of Optronics, System Technologies and Image Exploitation
  • 4. Probabilistic Model Matching Techniques • Challenge • Solution concepts
  • 5. 3D model generation from a single view • Challenge • Solution concepts
  • 6. Automatic detection and tracking of maritime objects • Challenge • Solution concepts
  • 7. Maritime Flash LIDAR Dataset • IOSB maritime flash LIDAR dataset and 3D model library (IOSB- MFL)
  • 8. Continued work • Backtracks a bit. • Go back to the technical sections of papers I already read • Go through the pseudo code of the work in this papers • Test one or two more things I am unsure about in the 2D object detection I showed you last week.