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Fixed underwater observatories (FUOs) equipped with a variety of sensors including HD cameras, allow long-term monitoring with a high temporal resolution of a limited area of interest. FUOs enable in situ monitoring of visual features like size and color of for instance live cold-water corals using imaging techniques. We present a computational workflow to extract coral features from the huge collection...
Authors have developed 3D acoustic video camera which is small and light weight in order to mount on ROV for ocean floor resources exploration and/or underwater construction. The objective of this camera is forward looking, surveying and especially monitoring underwater work. Here, a prototype of the camera was developed in short range and high resolution, because it monitors a robot arm attached...
Biometric-based authentication for smart handheld devices promises to provide a reliable and alternate security mechanism compared to traditional methods such as pins, patterns, and passwords. Although fingerprints are a viable source for authentication, they generally require installation of an additional hardware such as optical and swipe sensors on mobile devices, and are only available in expensive,...
Advancing state of the art in face recognition and bridging the gap between laboratory and real-world scenarios require the availability of challenging databases. One of the challenging applications of face recognition is surveillance, where unconstrained video data is captured both in day and night time (visible and near infrared spectrum). These videos have multiple subjects in each frame, which...
This paper presents a super-resolution (SR) method for the asymmetric dual-camera system. The proposed method restores the high-resolution (HR) image using the local self-similarity between two input images as wide- and tele-view images. The proposed method consists of three steps: i) registration and warping processes to reduce the disparity between the input images, ii) high-frequency patch extraction...
In free-viewpoint television, high-quality depth maps are substantial for a virtual view synthesis for free navigation purposes. In this paper, we propose a new method of depth map quality improvement and resolution increase. Our method is intended for low resolution depth maps acquired through estimation using multiview video. The proposed depth map quality improvement is based on segmentation of...
Spectral cameras are a valuable tool for anomaly detection because the spectral information provides more opportunities than a monochrome or color camera to distinguish targets from the background. We are currently working on the adaptation of a spectral line camera for outdoor use and for anomaly detection. This requires consideration of spectral calibration, lighting variation and adaptation of...
Hyperacuity of the human eye consists in the known capability to see very fine details far away from the limitations set by the number and size of its detectors. The authors of this paper have recently explained the hyperacuity of the human eye based on the use of the pupil diffraction before detection combined with a defined inverse problem. One of the most important concluding remarks of this study...
This paper proposes a new depth image recovery algorithm which recovers a high resolution depth image using RGB color image from a very low resolution depth image. In order to achieve a high recovery performance, this paper represents the high resolution depth image as the sum of an average distance image and a surface image. Experimental examples show that the proposed algorithm achieves a high resolution...
Holographic stereograms (HSs) constitute one of the most widely used types of computer-generated holograms. The scene information required to calculate the HSs can be acquired by conventional digital cameras. It is, however, usually required that the scene should be captured from dense set of view points. Therefore, relieving this requirement is critical in the sense of easing the capture process...
Camera calibration denotes the task of estimating the projective mapping between 3D world and the camera image plane. Most of the modern cameras have multiple image and video acquisition modes, which differ in image resolution, field of view or aspect ratio. Each mode should be treated as an independent device, and therefore independently calibrated. This straightforward solution implies the acquisition...
Capturing multiple images using the burst mode of handheld cameras can be a boon to obtain a high resolution (HR) image by exploiting the subpixel motion among the captured images arising from handshake. However, the caveat with mobile phone cameras is that they produce rolling shutter (RS) distortions that must be accounted for in the super-resolution process. We propose a method in which we obtain...
Face identification from low quality and low resolution Near-Infrared (NIR) face images is a challenging problem. Since surveillance cameras typically acquire images at a large standoff distance, the effective resolution of the face is not large enough to identify the individuals. Moreover for a 24-hour surveillance footage, images in low light and at nighttime are acquired in NIR mode which makes...
In this work we propose a depth estimation method for light field images. Light field images can be considered as a collection of 2D images taken from different viewpoints arranged in a regular grid. This means that disparity is the same for any pair of consecutive views, in both vertical and horizontal directions. We exploit this fact by computing disparity maps between specific pairs of views. This...
Planetary rovers navigate in extreme environments for which a Global Positioning System (GPS) is unavailable, maps are restricted to relatively low resolution provided by orbital imagery, and compass information is often lacking due to weak or not existent magnetic fields. However, an accurate rover localization is particularly important to achieve the mission success by reaching the science targets,...
Super-resolution (SR) offers an effective approach to boost quality and details of low-resolution (LR) images to obtain high-resolution (HR) images. Despite the theoretical and technical advances in the past decades, it still lacks plausible methodology to evaluate and compare different SR algorithms. The main cause to this problem lies in the missing ground truth data for SR. Unlike in many other...
Person re-identification (ReID) is a popular topic of research. Almost all existing ReID approaches employ local and global body features (e.g., clothing color and pattern, body symmetry, etc.). These ‘body ReID’ methods implicitly assume that facial resolution is too low to aid in the ReID process. We assert that faces, even when captured in low resolution environments, may contain unique and stable...
People with low vision have limited residual vision that can be greatly enhanced through high levels of magnification. Current assistive technologies are tailored for far field or near field magnification but not both. In collaboration with L.V. Prasad Eye Institute (LVPEI), a wearable, optical-digital assistive device was developed to meet the near and far field magnification needs of students. The...
This paper presents a miniature multispectral camera and its application in machine vision. Differ to conventional camera, the multispectral camera can capture image with high spectral resolution. First, the design of the multispectral camera is introduced. It consists of a Digital Micro-mirror Device (DMD) sandwiched by two optic gratings. Then, optical analysis is carried out, which demonstrates...
Stereo vision is an emerging technique requiring high quality depth computation in variety of applications in embedded and real-time systems. This system proposes implementation of cost computation information for stereo image pairs. High resolution disparity maps are needed to provide good image quality on auto stereoscopic displays that delivers stereo content without the need of 3-D glasses. Stereo...
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