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Blob detection

Known as: Laplacian of Gaussian, Determinant of the Hessian, Blob 
In computer vision, blob detection methods are aimed at detecting regions in a digital image that differ in properties, such as brightness or color… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2009
2009
Object detection and classification have received increased attention recently from computer vision and image processing… 
2007
2007
In this paper, we propose a novel and efficient framework for the extension of multi-scale blob detection for the color domain to… 
Highly Cited
2006
Highly Cited
2006
Automatic counting of people, entering or exiting a region of interest, is very important for both business and security… 
2006
2006
In this paper, we propose a novel descriptor which characterizes an iris pattern with multi-scale step/ridge edge-type (ET) maps… 
Highly Cited
2005
Highly Cited
2005
  • Qi ZhaoHai Tao
  • 2005
  • Corpus ID: 18097946
Color histogram based representations have been widely used for blob tracking. In this paper, a new color histogram based… 
2005
2005
This paper presents novel features for face detection in the paradigm of AdaBoost algorithm. Features are multi-dimensional… 
Highly Cited
2005
Highly Cited
2005
An edge detection is one of the most important tasks in image processing. Image segmentation, registration and identification are… 
2004
2004
This paper presents a camera-based system for tracking vehicles at outdoor scenes such as traffic intersections. Two different… 
2004
2004
In low-level image processing tasks, the circularity of an operator has been shown to be an important factor affecting its… 
Highly Cited
1997
Highly Cited
1997
Bulky head-mounted displays, data gloves, and severely limited movement have become synonymous with virtual environments. This is…