h3This paper extends the Harris corner detector by investigating the scale space dimension, i.e. the trace of the Hessian matrix. The point found will be close to the one of the Harris corner detector, but still different. There seem to be situations when this detector is more robust than the Harris, but the computational cost is bigger.

  • Interest Point Detection Based on the Extended Structure Tensor with a Scale Space Parameter. A. Hast. VISAPP, Poster with Paper. pp. 1-8 2015. 
    @inproceedings{Has15a, author = {A. Hast}, title = {Interest Point Detection Based on the Extended Structure Tensor with a Scale Space Parameter}, booktitle = {VISAPP}, pages = {1--8}, note = {Poster with Paper}, year = {2015}}

 

Published by Anders

Anders Hast received a PhD in Computerised Image processing at Uppsala university in 2004. In 2011 he spent one year at IIT, CNR, Pisa in Italy as an ERCIM fellow and after that he received a full time position as associate professor and in 2019 he became professor in image processing, both at Uppsala University. He has been affiliated with UPPMAX super computer centre where he worked as an application expert in Scientific Visualisation and later in the field of digital humanities together with the Centre for digital humanities in Uppsala. His recent research has focused on image processing and computer vision, for applications in microscopy, aerial photography, object recognition and especially hand written text recognition and face recognition.

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