In this paper we present a new method to group self-similar SIFT features in images. The aim is to automatically build groups of all SIFT features with the same semantics in an image. To achieve this a new distance between SIFT feature vectors taking into account their orientation and scale is introduced. The methods are presented in the context of recognition of buildings. A first evaluation s...

2 User reference: the sift function 1 2.1 Scale space parameters . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.2 Detector parameters . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.3 Descriptor parameters . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.4 Direct access to SIFT components . . . . . . . ....

This paper addresses the problem of combining color and geometric invariants for object description by proposing a novel colored invariant local feature descriptor. The proposed approach uses scale-space theory to detect the most geometrically robust features in a physical-based color invariant space. The stability and the distinction of the detected features are compared with the SIFT approach...

SIFT is a novel and promising method for iris recognition. However, some shortages exist in many related methods, such as difficulty of feature extraction, feature loss, and noise point introduction. In this paper, a new method named SIFT-based iris recognition with normalization and enhancement is proposed for achieving better performance. In Comparison with other SIFT-based iris recognition a...

We propose the -dimensional scale invariant feature transform ( -SIFT) method for extracting and matching salient features from scalar images of arbitrary dimensionality, and compare this method’s performance to other related features. The proposed features extend the concepts used for 2-D scalar images in the computer vision SIFT technique for extracting and matching distinctive scale invarian...

The SIFT algorithm produces keypoint descriptors. This paper analyzes that the SIFT algorithm generates the number of keypoints when we increase a parameter (number of sublevels per octave). SIFT has a good hit rate for this analysis. The algorithm was tested over a specific data set, and the experiments were conducted to increase the performance of SIFT in terms of accuracy and efficiency so a...

Due to significant geometric distortions and illumination differences, developing techniques for high precision robust multisource remote sensing image registration poses a great challenge. This article presents an iterative approach, called scale-invariant feature transform (ISIFT) images, which extends the traditional (SIFT)-based system close-feedback SIFT that includes rectification feedbac...