Skip to search formSkip to main contentSkip to account menu

Scale space

Known as: Scale-space representation, Scale-space, Scale-space theory 
Scale-space theory is a framework for multi-scale signal representation developed by the computer vision, image processing and signal processing… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
Correlation filter based trackers are ranked top in terms of performances. Nevertheless, they only employ a single kernel at a… 
Highly Cited
2011
Highly Cited
2011
Context. Hot luminous stars show a variety of phenomena in their photospheres and winds which still lack clear physical… 
Highly Cited
2008
Highly Cited
2008
In this paper we address the problem of automated three dimensional point cloud interpretation. This problem is important for… 
Highly Cited
2007
Highly Cited
2007
We consider texture, luminance, corner and the edge information in the image to generate a mask that makes the addition of the… 
2001
2001
Oral Presentations.- Using the Vector Distance Functions to Evolve Manifolds of Arbitrary Codimension.- Computing Optic Flow by… 
Highly Cited
2000
Highly Cited
1999
Highly Cited
1999
With the emerging market for high-mobility remote access broadband services, satellite networks are becoming increasingly popular… 
Highly Cited
1999
Highly Cited
1999
An inherent property of objects in the world is that they only exist as meaningful entities over certain ranges of scale. If one…