Weighted Multi-Scale Image Matching Based on Harris-Sift Descriptor

Sun, Chang; Wang, Jinge; Liu, Zaixin; Li, Junmin

doi:10.11591/telkomnika.v11i10.3429

Cited by 6 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This generates features that may densely cover image for full range of scales and locations, please see [35] and [36]. SIFT idea is based on [37], where possibility of matching Harris corners over large image by using correlation window around each corner was discussed (see also [38] and [39] for details). This idea was developed in [40] to general image recognition, where Harris corners were applied to select keypoints by rotationally invariant descriptor of local image regions.…”

Section: B Sift -Classic Attemptmentioning

confidence: 99%

Simplified firefly algorithm for 2D image key-points search

Napoli

Pappalardo

Tramontana

et al. 2014

2014 IEEE Symposium on Computational Intelligence for Human-Like Intelligence (CIHLI)

View full text Add to dashboard Cite

Abstract-In order to identify an object, human eyes firstly search the field of view for points or areas which have particular properties. These properties are used to recognise an image or an object. Then this process could be taken as a model to develop computer algorithms for images identification. This paper proposes the idea of applying the simplified firefly algorithm to search for key-areas in 2D images. For a set of input test images the proposed version of firefly algorithm has been examined. Research results are presented and discussed to show the efficiency of this evolutionary computation method.

show abstract

Section: B Sift -Classic Attemptmentioning

confidence: 99%