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Institute of Computational Perception
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Digital Image Processing

Student projects in digital image processing

The main goal of digital image processing is to extract useful information about the objects contained in an images from an input image of potentially low quality. The steps necessary to this end (restoration, geometry correction, enhancement, segmentation, feature extraction, classification) are therefore of major interest for us at CP. Additionally we are very interested in image copyright protection (digital image watermarking)

These student projects can be started any time (including holidays) and can span over semester boundaries.

Contact for these topics: Josef Scharinger

Remark: I am open for new proposals – if you are interested in image processing topics just contact me! 

Concrete topics I am interested in:

  • DeepDive: Underwater Object Detection using DNNs, opens a file
  • Region-based stereo matching, opens a file
  • Painting programs for automation technology, opens a file
  • Image Completion
  • Dectection/decoding of QR codes
  • Digital image watermarking 
  • Content based image retrieval
  • Silhouette extraction from videos of moving persons
  • Image retrieval for music-related images (band pictures, album covers, logos, ...)
  • Finding correlations of image properties and artists/genres
  • Localization of flickr images based on image and tag similarity
  • Compression formats for ToF data streams (distance-/amplitude images, resp. XYZ-point clouds)
  • Image features for 3D-Tracking in distance images
  • SLAM using ToF data, or IMU data, respectively (with or without GPS)
  • Setup and calibration of a stereo camera with HW-accelerated matching on an ARM platform
  • Single view 3D reconstruction via structure-from-motion