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3D Time-of-Flight cameras are able to deliver robust depth maps of dynamic scenes. The frame rate, however, is limited because today's systems utilizing two-tap sensors need to acquire the required raw images in multiple instances in order to compute one depth map. These multiple raw images allow canceling out systematic errors introduced by asymmetries in the two taps, which otherwise would distort...
For digital photographs of astronomical objects, where exposure times are usually long and ISO settings high, the so-called dark-current is a significant source of noise. Dark-current refers to thermally generated electrons and is therefore present even in the absence of light. This paper presents a novel approach for denoising astronomical images that have been corrupted by dark-current noise. Our...
Shallow waters are very important for human and biological activity. Remote sensing of these areas is challenging, as it requires separation of ocean (or lake) bottom, water and atmospheric effects. In this paper we describe a concept and theory for spaceborne recovery of the underwater depth map, optical characteristics of the water and atmosphere, and the descattered ocean bottom. The sensing is...
Today, consumer cameras produce photographs with tens of millions of pixels. The recent trend in image sensor resolution seems to suggest that we will soon have cameras with billions of pixels. However, the resolution of any camera is fundamentally limited by geometric aberrations. We derive a scaling law that shows that, by using computations to correct for aberrations, we can create cameras with...
We present a robotic vision system that is capable of tracking fast moving objects. We briefly describe the design and construction of the system and concentrate on the biological strategies we have implemented to improve the system's capabilities in terms of speed and accuracy. We have also explored new horizons in the area of artificial intelligence to propose some useful algorithms based on visual...
This work presents and evaluates the PixelLaser system, designed to estimate range-to-obstacle scans from single images. Its visual pipeline uses nearest-neighbor texture-matching to segment groundplane (traversable) texture from non-groundplane (obstacle) texture. Using the known pose of a webcamera, the system then transforms these segmentations into range-scans. This paper presents a thorough evaluation...
The paper presents a global motion compensation algorithm, designed to work in real time on low memory and low processing power hardware platforms, such as mobile phones. The algorithm is designed as one of the parts of a fully automated exposure fusion algorithm also intended for mobile platform. It implements translational shifts to one or both of the input images (the overexposed and the underexposed)...
To fully exploit the potential of current generation infrared focal plane arrays, it is crucial to correct for the fixed pattern noise. This paper presents two-point non-uniformity corrections (NUC) applied to infrared images acquired with long wave and medium wave infrared cameras. Pixels that are not corrected by the NUC process, defined as bad pixels, were identified and replaced using a nearest...
Vehicle Segmentation algorithm make a effective segmentation as there is a certain contrast between foreground and background, in order to deal with effective segmentation problem,in the case of the low contrast between foreground and background, cased by inappropriate camera parameters set or cloudy day. Then present a method simulating the gray level value in area of interesting changes by using...
This paper proposes a novel method to detect smoke using statistical patterns which are DWT energy. In general, shape of smoke is not clear and color and diffusion direction of smoke depends on the environment. Therefore, if small pieces of smoke's information are used, false detection rate is increased. In this paper, the foreground is detected by robust method to environment changes. After its detection,...
In recent years, there has been increased interest in characterizing and extracting 3D information from video sequences for object tracking and identification. In this paper, we propose a single view-based framework for robust estimation of height and position. In this work, 2D features of a target object is back-projected into the 3D scene space where its coordinate system is given by a rectangular...
A new method based on the Discrete Cosine Transform (DCT) and the Otsu method for blur detection in image sequences is proposed in this paper. In the first step, the standard deviation (STD) and the DCT coefficients are utilized to detect blurred and homogeneous areas in each image. Then, the Otsu method is used to calculate an adaptive threshold in each segment of the image sequence. Our experiments...
In this paper, we proposed an approach of multi-person movement tracking in office environment without any identity conflicts. Simple image processing with frame differentiation method is applied to identify multiple human motion. An Expert System is applied to predict next camera occurrence of the tracking human. The main objective of this work is to detect and track multi-human motion using single...
Aiming at the problem of characters defects in the process of bearing production, a set of bearing characters recognition system is designed based on LabVIEW. The system collects the bearing images by CCD camera, the image acquisition card transforms the analog signal into digital signal and the data is delivered to the computer, the program can extract and recognize the characters features by the...
A method to transform omnidirectional images to panoramic images is proposed in this paper. Firstly, points of the omnidirectional image are re-projected to the cylindrical surface to construct the interpolation surface. Secondly, an improved interpolation with adaptive interpolation region is adopted. Finally, blurred edges are compensated by a modified edge-preservation interpolation method. Experimental...
Vision-based driver assistance is an active safety measure currently under development in various car companies and research institutes worldwide. The paper informs about related activities at The University of Auckland, focussing on stereo vision, performance evaluation, provided test data, and currently developed components.
An efficient texture-based method is presented to identify the stars in the sensor field. Each star is modeled as a group of extensions to local binary pattern (LBP) that is calculated over a circular region around the star. The approach provides us with many advantages compared to the state-of-the-art. Experimental results clearly justify our model.
In order to detect atomization angle and uniformity of aircraft engine nozzle, a new method of computer vision is proposed in this paper. Fuzzy C-means clustering and Hough transform are introduced in spray angle and center offset test. Template self-adaptive image matching algorithms is proposed to detect uniformity. The errors of atomization angle and center offset are less than 0.5 degree. In uniformity...
Development of the tracking algorithms used in an infrared seekerhead missile requires the infrared characteristics of the target against which the missile will be directed. Mid-wave infrared recordings of such a target were made at altitude during a flight test. The measurement setup for this test is described, as well as the additional recordings required during data reduction afterwards. An exposition...
This paper describes the designed hardware and software systems (planimeters) for contactless measurement of areas (measuring the variation of oedema area's) of planar projections of laboratory rodent leap. These systems operate on the principle of processing the video signal scanned by a digital camera.
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