Deep Learning for Computer Vision

This NPTEL series runs to 64 lectures under Prof. Vineeth N Balasubramanian at IIT Hyderabad. It is a survey of image analysis that begins with how images are formed and represented before moving on to filtering and features.

Topics in order

• Image representation, linear filtering and the frequency domain.
• Edges, blobs and corners, followed by scale space and image pyramids.
• Feature detectors such as SIFT and its variants, then a review of neural networks.

Who it suits

Readers who want the signal-processing foundations behind modern vision models. Several lectures are marked optional, so the list can be read selectively depending on how much of the groundwork you already have.