This paper presents a new interest local regions descriptors method based on Hilbert-Huang Transform. The neighborhood of the interest local region is decomposed adaptively into oscillatory components called intrinsic mode functions (IMFs). Then the Hilbert transform is applied to each component and get the phase and amplitude information. The proposed descriptors samples the phase angles infor...

Matching results depend on a chosen threshold for the Lowe criterion [3], i.e., a maximum value for the ratio of the descriptor distance of the best match to the descriptor distance of the second best match. In our test, we use for ASIFT a maximum Lowe score of 0.73, which is the default value of the provided implementation. For SIFT [3], to put us in the worst situation (many ambiguities, henc...

Object identification using Scale-Invariant Feature Transform (SIFT) keypoints requires stable keypoint signatures that can be reliably reproduced across variations in lighting, viewing angle, as well as camera imaging characteristics. While reproducibility has been demonstrated under various lighting and viewing angles elsewhere, this work performs an empirical evaluation of the reproducibilit...

We present a method for vision-based recovery of threedimensional structures through simultaneous model reconstruction and camera position tracking from monocular images. Our approach does not rely on robust feature detecting schemes (such as SIFT, KLT etc.), but works directly on intensity values in the captured images. Thus, it is well-suited for reconstruction of surfaces that exhibit only m...

In this work, we study efficiency of SIFT descriptor in discrimination of binary shapes. We also analyze how the use of 2 − tuples of SIFT keypoints can affect discrimination of shapes. The study is divided into two parts, the first part serves as a primary analysis where we propose to compute overlap of classes using SIFT and a majority vote of keypoints. In the second part, we analyze both cl...

Many presentations consisting of video, audio and slides are being recorded for wider dissemination purposes. Video slide alignment is necessary for efficient review and hence has attracted much attention. However, the recorded video style varies greatly because of different capturing systems, and most existing alignment approaches deal with one of the video styles. In this paper, a more genera...