Tag: fast template matching

TIP 2012 – Correlation Coefficient Based Fast Template Matching Through Partial Elimination

TIP 2012 – Correlation Coefficient Based Fast Template Matching Through Partial Elimination

| April 1, 2012

Arif Mahmood, Sohaib Khan IEEE Transactions on Image Processing, Vol 21, No 4, April 2012 Abstract Partial computation elimination techniques are often used for fast template matching. At a particular search location, computations are prematurely terminated as soon as it is found that this location cannot compete already known best-match location. Due to non-monotonic growth […]

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TIP 2010 – Exploiting Transitivity of Correlation for Fast Template Matching

TIP 2010 – Exploiting Transitivity of Correlation for Fast Template Matching

| August 8, 2010

Arif Mahmood, Sohaib Khan IEEE Transactions on Image Processing, Vol 19, N0. 8, Aug 2010 Abstract Elimination Algorithms are often used in template matching to provide a significant speed-up by skipping portions of the computation while guaranteeing the same best-match location as exhaustive search. In this work, we develop elimination algorithms for correlation-based match measures […]

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ICIP 2008 – Exploiting Local Auto-Correlation Function for Fast Video-to-Reference Image Alignment

ICIP 2008 – Exploiting Local Auto-Correlation Function for Fast Video-to-Reference Image Alignment

| October 9, 2008

Arif Mahmood, Sohaib Khan 15th IEEE International Conference on Image Processing, ICIP 2008 Abstract Digital images of natural scenes are usually characterized by strong spatial correlation between adjacent pixels which has been successfully exploited in the coding of still and moving pictures. In this work we show that the strong spatial correlation of natural images […]

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ACCV 2007 – Exploiting Inter-Frame Correlation for Fast Video to Reference Image Alignment

ACCV 2007 – Exploiting Inter-Frame Correlation for Fast Video to Reference Image Alignment

| November 9, 2007 | 0 Comments

Arif Mahmood, Sohaib Khan 8th Asian Conference on Computer Vision, ACCV 2007, Tokyo Japan Abstract Strong temporal correlation between adjacent frames of a video signal has been successfully exploited in standard video compression algorithms. In this work, we show that the temporal correlation in a video signal can also be used for fast video to […]

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