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Detecting people carrying objects is a commonly formulated problem as a first step to monitor interactions between people and objects. Recent work relies on a precise foreground object segmentation, which is often difficult to achieve in video surveillance sequences due to a bad contrast of the foreground objects with the scene background, abrupt changing light conditions and small camera vibrations...
A novel scheme on reality preserving image encryption is proposed in this paper. The Hilbert transform and the double random phase encoding are utilized in the proposed method. The encrypted image is real-valued without data expanding, which can benefit the digital processing of images by electronic computers where speed of computation is important. The image is processed in the plane which can be...
The importance of edge fidelity in image resizing is well established. Isophotes, or connected pixels of equal intensity, are essential to human perception of static images and interpolation methods that disrupt isophote curvature produce distracting artifacts. We introduce a new image resizing algorithm based on the principles of optical flow. The optical flow equation assumes that for every pixel...
In sub-wavelength lithography, traditional resolution enhancement techniques (e.g., OPC) cannot guarantee the optimality of the mask. In this paper, we present a novel inverse lithography method to solve the mask optimization problem. Recognizing that when formulated on a pixel-by-pixel basis with partially coherent optical models, the problem is a large-scale nonlinear optimization problem, we cast...
Airborne Light Detection And Ranging (LIDAR) provides accurate height information for objects on the earth, which makes LIDAR become more and more popular in terrain and land surveying. In particular, LIDAR data offer vital and significant features for land-cover classification which is an important task in many application domains. In this paper, an unsupervised approach based on an improved fuzzy...
In this paper we evaluate the effects of physically plausible renderings of ground truth sequences for optical flow estimation, as it seems to be a common belief that real world effects such as specular highlights, shadows, etc. cannot easily be reproduced synthetically while their influence on optical flow is hard to classify. Therefore, a real sequence with shadows and specular reflections was recorded...
Advantageous interconnections of automotive cameras and electronic control units are possible by using IP based technology within the vehicles. Automotive implementation of this kind of technology enables limited data rates. Camera streams have to be compressed for the transmission over such a medium. The image processing algorithms can be applied after a decompression of the camera streams. In this...
In this paper we present a real-time system for projection of image/video content on a moving objects (human) regions of interest (ROIs) using projector based on object motion detection and tracking using optical camera. We present techniques for correlation camera and projector I/O image/video stream designed to successfully combat different coordinate spaces and we discuss their performance. Dynamic...
Image registration of different sensing types is of great interest in image processing area. Though lots of methods have been proposed, the results are still next to perfect. Of all these methods Mutual Information (MI) is a state-of-art one. However problems like incorporating spatial information still exists. Implicit similarity proposed by Keller overcomes some limitations of MI and obtained good...
A visual cue is introduced that exploits the visual appearance of a single image to estimate the proximity to an obstacle. In particular, the appearance variation cue captures the variation in texture and / or color in the image, and is based on the assumption that there is less such variation when the camera is close to an obstacle. Random sampling is applied in order to evaluate the appearance variation...
Optical Character Recognition consists of various steps like skew detection, segmentation of columns, lines, words, and characters before feeding the isolated character to an optical character recognition system. Several methodologies are followed to perform these steps using conventional Hough Transformation. In this paper, a new algorithm is proposed to perform all those steps involved in document...
This paper presents a novel method for automated thickness measurements of nacre from optical coherence tomography (OCT) using polar transform and probability density projection. Our method detects the upper boundary of nacre and the raw boundary is fitted to a circle by a priori. Then polar transform is applied to the image according to the fitted circle. At the following stage, we extract the lower...
In this paper, we propose a real-time ground plane extraction and obstacle detection technique for mobile robot navigation based on a combination of segmentation and optical flow techniques using monocular image sequences. The ground plane, which is captured using a calibrated camera, mounted on a robot platform, has been segmented in a two step process. In the first step which is an offline process,...
This paper presents a system for a design and implementation of Optical Arabic Braille Recognition(OBR) with voice and text conversion. The implemented algorithm based on a comparison of Braille dot position extraction in each cell with the database generated for each Braille cell. Many digital image processing have been performed on the Braille scanned document like binary conversion, edge detection,...
Depth computation in robotics is an important step towards providing robust and accurate navigation capabilities to a mobile robot. In this paper we examine the problem of depth estimation with the view to be used in parsimonious systems where fast and accurate measurements are critical. For this purpose we have combined two methods, namely optical flow and least squares in order to infer depth estimates...
Speckle is a type of multiplicative noise degrading visual quality in imaging using optical coherence tomography (OCT) resulting in difficulty of assessment by experts. Thus speckle reduction algorithms are required for enhancing image quality of OCT and assisting in their visual assessment. The objective of this work is to evaluate the performance of speckle reduction algorithms using five image...
A new technology of realizing the real-time and fast alignment of the pupils and axis between two platforms is presented. The information of optical pupils and axis were detected by the Hartmann sensor. Then a pair of fast tilt-mirrors was controlled with the PI control method. The experiment proves the feasibility and practicability of the technology. The real-time adjustment speed is about the 30...
This paper presents process breakthroughs that enable a BSI 0.9μm pixel formation and its performance. The technology was developed using 300mm bulk silicon starting wafers with the state-of-the-art tool set for BSI sensor processing. This is the first demonstration of 0.9μm BSI pixel with acceptable optical performance. Further improvements are in the area of crosstalk suppression and color performance...
The large amount of image data from the captured 3D integral image requires to be presented with adequate resolution. It is therefore necessary to develop compression algorithms that take advantage of the characteristics of the recorded integral image. In this paper we propose a new compression method that is adapted to integral imaging. According to the optical characteristics of integral imaging,...
Public safety concerns have been raised by potential safety problems due to deformation of infrastructures such as railways, highways and bridges. Monitoring the deformation of large-scale man-made linear objects (LMLO) by permanent scatters (PS) interferomerty would be critical to prevent this kind of disasters. However, the estimation of LMLO deformation is sensitive to the influence of those random...
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