Performance evaluation of similarity measures for dense multimodal stereovision

Yaman, Mustafa
Kalkan, Sinan
Multimodal imaging systems have recently been drawing attention in fields such as medical imaging, remote sensing, and video surveillance systems. In such systems, estimating depth has become possible due to the promising progress of multimodal matching techniques. We perform a systematic performance evaluation of similarity measures frequently used in the literature for dense multimodal stereovision. The evaluated measures include mutual information (MI), sum of squared distances, normalized cross-correlation, census transform, local self-similarity (LSS) as well as descriptors adopted to multimodal settings, like scale invariant feature transform (SIFT), speeded-up robust features (SURF), histogram of oriented gradients (HOG), binary robust independent elementary features, and fast retina keypoint (FREAK). We evaluate the measures over datasets we generated, compiled, and provided as a benchmark and compare the performances using the Winner Takes All method. The datasets are (1) synthetically modified four popular pairs from the Middlebury Stereo Dataset (namely, Tsukuba, Venus, Cones, and Teddy) and (2) our own multimodal image pairs acquired using the infrared and the electrooptical cameras of a Kinect device. The results show that MI and HOG provide promising results for multimodal imagery, and FREAK, SURF, SIFT, and LSS can be considered as alternatives depending on the multimodality level and the computational complexity requirements of the intended application. (C) 2016 SPIE and IS&T


Sensory applications of resonator based metamaterial absorber
Metamaterials are attractive media for scientific society for their potential multi-functional and a wide range of applications due to their unusual electromagnetic properties. In this paper, we present several important applications including pressure, density and volumetric moisture sensing based on rectangular split ring structure with a strip line. These applications are carried out experimentally and numerically. Since the sensing ability is mostly connected with the resonance frequencies, we have care...
Performance of M-ary pulse position modulation for aeronautical uplink communications in an atmospheric turbulent medium
Ata, Yalcin; Baykal, Yahya; Gokce, Muhsin Caner (The Optical Society, 2019-10-01)
This paper discusses the bit-error-rate (BER) performance of an aeronautical uplink optical wireless communication system (OWCS) when a Gaussian beam is employed and the M-ary pulse position modulation technique is used in an atmospheric turbulent medium. Weak turbulence conditions and log-normal distribution are utilized. The Gaussian beam is assumed to propagate on a slant path, the transmitter being ground-based, and the airborne receiver is on-axis positioned. Variations of BER are obtained against the ...
Efficient computation of 2D point-spread functions for diffractive lenses
Ayazgok, Suleyman; Öktem, Sevinç Figen (The Optical Society, 2020-01-10)
Diffractive lenses, such as Fresnel zone plates, photon sieves, and their modified versions, have been of significant recent interest in high-resolution imaging applications. As the advent of diffractive lens systems with different configurations expands, the fast and accurate simulation of these systems becomes crucial for both the design and image reconstruction tasks. Here we present a fast and accurate method for computing the 2D point-spread function (PSF) of an arbitrary diffractive lens. The method i...
Optimal design of sparse mimo arrays for wideband near-field imaging based on a statistical framework
Kocamış, Mehmet Burak; Öktem, Sevinç Figen; Department of Electrical and Electronics Engineering (2018)
Wideband near-field imaging is an emerging remote sensing technique in various applications such as airport security, surveillance, medical diagnosis, and through-wall imaging. Recently, there has been increasing interest in using sparse multiple-input-multiple-output (MIMO) arrays to achieve high resolution with reduced hardware complexity and cost. In this thesis, based on a statistical framework, an optimal design method is presented for two-dimensional MIMO arrays in wideband near-field imaging. Differe...
Image segmentation with Improved region modeling
Ersoy, Ozan; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2004)
Image segmentation is an important research area in digital image processing with several applications in vision-guided autonomous robotics, product quality inspection, medical diagnosis, the analysis of remotely sensed images, etc. The aim of image segmentation can be defined as partitioning an image into homogeneous regions in terms of the features of pixels extracted from the image. Image segmentation methods can be classified into four main categories: 1) clustering methods, 2) region-based methods, 3) ...
Citation Formats
M. Yaman and S. Kalkan, “Performance evaluation of similarity measures for dense multimodal stereovision,” JOURNAL OF ELECTRONIC IMAGING, pp. 0–0, 2016, Accessed: 00, 2020. [Online]. Available: