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Computer Vision Assignment Help , Computer Vision Homework Help

 

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Few Topics are:

  • Camera models, multi-view geometry, reconstruction
  • low-level image processing,
  • high-level vision tasks like image classification and object detection.
  • Image formation / projective geometry / lighting
  • linear algebra
  • Fourier Transform
  • Image Sensing
  • Image Analysis
  • Edge/Line Detection
  • Segmentation/Morphological Filtering
  • Feature Extraction/Analysis
  • Pattern Classification
  • Image processing / descriptors
  • Image warping
  • Linear models + optimization
  • Neural networks
  • Applications of neural networks
  • Motion and flow
  • Single-view geometry
  • Multi-view geometry
  • Applications

Complex Topics are:

  • imaging models and camera calibration
  • early vision
  • filters, edges
  • texture, stereo, optical flow
  • mid-level vision
  • segmentation, tracking
  • vision-based control and object recognition
  • real-time 3D computer vision
  • advanced techniques and algorithms
  • image processing
  • medical imaging
  • intelligent autonomous UAV/robot vision
  • viewing position, illumination, occlusion and object shape.
  • Image processing
  • Deep learning
  • Filtering, Image Representations, and Texture Models
  • Image registration and mosaics
  • Colour Vision
  • Neurophysiology of vision
  • Multi-view Geometry
  • Projective Reconstruction
  • Stereo vision
  • Bayesian Vision; Statistical Classifiers
  • Clustering & Segmentation; Voting Methods
  • Invariant local features
  • Object recognition
  • Medical Imaging
  • Image Databases
  • Motion interpretation
  • Tracking and Density Propagation
  • Biometric authentication
  • Human activity recognition
  • Visual Surveillance and Activity Monitoring
  • Real-time robot vision (for robots and drones)
  • Innovative computer vision based human-computer interfaces