Fast Feature Point Detector

Author(s):  
Neeta Nain ◽  
Vijay Laxmi ◽  
Bhavitavya Bhadviya ◽  
Deepak B M ◽  
Mushtaq Ahmed
Keyword(s):  
2013 ◽  
Vol 325-326 ◽  
pp. 1567-1570 ◽  
Author(s):  
Jing Guo Lv ◽  
Wei Zhe Kong ◽  
Dong Yue Li

Image matching is a key a key technology to be solved in the fields of digital photogrammetry and computer vision. Matching based on points matching is most widely used now. How to locate the right feature points is vital. Only accurate feature points can make right matching results. The paper introduces a method of 3-D Harris detector. The two steps matching have been done in our works. The results of experiments show that the 3-D Harris detector is accuracy and efficient.


2019 ◽  
Vol 31 (2) ◽  
pp. 277-296
Author(s):  
STANLEY L. TUZNIK ◽  
PETER J. OLVER ◽  
ALLEN TANNENBAUM

Image feature points are detected as pixels which locally maximise a detector function, two commonly used examples of which are the (Euclidean) image gradient and the Harris–Stephens corner detector. A major limitation of these feature detectors is that they are only Euclidean-invariant. In this work, we demonstrate the application of a 2D equi-affine-invariant image feature point detector based on differential invariants as derived through the equivariant method of moving frames. The fundamental equi-affine differential invariants for 3D image volumes are also computed.


Author(s):  
P.M. Houpt ◽  
A. Draaijer

In confocal microscopy, the object is scanned by the coinciding focal points (confocal) of a point light source and a point detector both focused on a certain plane in the object. Only light coming from the focal point is detected and, even more important, out-of-focus light is rejected.This makes it possible to slice up optically the ‘volume of interest’ in the object by moving it axially while scanning the focused point light source (X-Y) laterally. The successive confocal sections can be stored in a computer and used to reconstruct the object in a 3D image display.The instrument described is able to scan the object laterally with an Ar ion laser (488 nm) at video rates. The image of one confocal section of an object can be displayed within 40 milliseconds (1000 х 1000 pixels). The time to record the total information within the ‘volume of interest’ normally depends on the number of slices needed to cover it, but rarely exceeds a few seconds.


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