SIFT operator proposed by Lowe,et al,with scale,rotation,perspective,illumination invariance,can be effectively used to reconstruct a 3D object and recognize a complex object.

Moreover,the precision of object recognition can be improved effectively by the combination of SIFT features and normalized DLT algorithm.

Aiming at the problem,according to the characters of the infrared thermal imager,a stabilization algorithm of SIFT-RANSAC is proposed for motion parameters estimation with SIFT features and RANSAC method.

An approach for object matching based on SIFT feature in multiple-camera surveillance system

SIFT feature was used to extract special features which were processed through dimensional reduction,then the distinctive trained Gaussian mixture model(GMM) was used for target recognition.

Using filter template the noise can be removed efficiently, after filtering, the SIFT feature is extracted.

Watermarking algorithm robust to geometric distortion based on SIFT feature points;

By the use of SIFT feature vector matching,objects which had been collected by a binocular stereo vision system were detected in both left and right images,and thus suitable SIFT feature points were found.