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We propose a novel depth maps refinement algorithm and generate multi-view video sequences from two-view video sequences for modern autostereoscopic display. In order to generate realistic contents for virtual views, high-quality depth maps are very critical to the view synthesis results. We propose an iterative depth refinement approach of a joint error detection and correction algorithm to refine...
Micro lens captures less light than normal lens dose, which makes low quality noise image, and current image sensor cannot preserve whole dynamic range in real world. HDR image with multi-exposure image overcomes the problems mentioned above. Choosing good exposure time is a seldom-discussed but important issue in HDR imaging technology. In this paper we propose a Histogram Based Exposure Time Selection...
HDR (high dynamic range) imaging is to obtain HDR image by fusing a few LDR (Low dynamic range) images with different dynamic range together. Due to the difference in the dynamic ranges between acquired image and actual scene, overexposure and underexposure may appear in HDR images obtained. Thus, the detail information of images may get lost in the result image This paper proposes a method to relieve...
It is well known that modern CCD/CMOS digital cameras produce color images contaminated by mixed photon-electronic noise, which is a mixture of signal-dependent optical photon noise and signal-independent electronic noise. In statistical, variance of the mixed noise is a line function of mean intensity on the pixel. Based on this camera variance-mean model, we propose a fast and robust approach to...
Due to the fast growing vehicle population in the recent years has resulted in considerable increase in the traffic on roads, causing alarming noise pollution and also making the task of vehicle monitoring cumbersome for the civil force. This paper proposes an idea to design an on board equipment SHARP which implements soundless horn, a mechanism for vehicles to reduce the traffic noise and a remote...
Image tampering is nowadays at everyone’s reach. This has determined an urgent need of tools capable of revealing such alterations. Unfortunately, while forgeries can be operated in many different ways, forensic tools usually focus on one specific kind of forgeries. Therefore, an effective strategy for tampering detection and localization requires to merge the output of many different forensic tools...
Vision systems provide a large functional spectrum for perception applications and, in recent years, they have demonstrated to be essential in the development of Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles. In this context, this paper presents an on-road objects detection approach improved by our previous work in defining the traffic area and new strategy in obstacle extraction...
Digital fundus images are commonly used for computer aided diagnosis of different eye disease such as diabetic retinopathy, glaucoma, age related macular degeneration. One issue with fundus cameras is that they provide fundus image only for a small field of view (FOV). This paper presents a novel method to increase the FOV by stitching different fundus images from same patient. The proposed system...
This study proposes an approach to segment human object from a depth image based on histogram of depth values. The region of interest is first extracted based on a predefined threshold for histogram regions. A region growing process is then employed to separate multiple human bodies with the same depth interval. Our contribution is the identification of an adaptive growth threshold based on the detected...
This work addresses the problemof correspondence matching in multiview video sequences when co-acquired depth maps are available, as in the novel Multiview Video plus Depth (MVD) format. For the purpose of activity-based correspondence matching, we exploit the view depth information, allowing a thorough geometrical analysis of the video scene, and the statistical analysis of the inter-frame differences.
In this paper, we propose an efficient framework for reducing noise and holes in depth map captured with an RGB-D camera. This is performed by applying plane fitting to the groups of points assimilable to planar structures and filtering the curved surface points. We present a new method for finding global planar structures in a 3D scene by combining superpixel segmentation and graph component labeling...
This document describes a proof of concept for a new approach for next generation wheel alignment systems. We propose to measure the relevant angels with Kohonen self organizing networks from an image of a heavy precision camera, instead of a projecting system clamped on the wheel. This has the clear advantage, that we do not need to attach a specially designed clamp which holds on to a wheel with...
Many applications require the use of multiple cameras to cover a large volume. In this paper, we evaluate several pairwise calibration techniques dedicated to multiple range cameras. We compare the precision of a self-calibration technique based on the movement in front of the cameras to object based calibration. While the self-calibration technique is less precise than its counterparts, it yields...
In this paper, we propose a new visual inspection method that can analyze the exterior surface of rubber tires with the light stripe projection. Image sensing of the tire surface was implemented by setting the tire on the rotating table so that the normal pattern of the tire surface could be suppressed. The proposed method detects the exterior thin defect after removing three kinds of uneven circularities...
Analysis of crowd behaviour in public places is an indispensable tool for video surveillance. Automated detection of anomalous crowd behaviour is a critical problem with the increase in human population. Anomalous events may include a person loitering about a place for unusual amounts of time; people running and causing panic; the size of a group of people growing over time etc. In this work, to detect...
An approach is suggested for automating fish identification and measurement using stereo Baited Remote Underwater Video footage. Simple methods for identifying fish are not sufficient for measurement, since the snout and tail points must be found, and the stereo data should be incorporated to find a true measurement. We present a modular framework that ties together various approaches in order to...
The electronic cluster eye (eCley) is a new artificial compound eye with some prominent properties of high resolution, miniature volume, and large field of view. Although having the potential capability of obtaining the depth information, the limitation of the short focal length and tiny volume of the eCley still confine the conventional stereo matching algorithms to determine the distances of objects...
Today, the diseases are being treated with less invasive and more sophisticated, technology-oriented methods. The diagnostic tools that were usually used in the hospitals have become available at our homes. Within the heart of this new generation health-care systems, CMOS technology lies with its high capability of integration, low power consumption, and low cost. Within this context, CMOS image sensors...
This paper describes design considerations for acquiring improved performance on a new type of display system for regenerating three-dimensional images with an invisible high-frequency code pattern whose attribute depends on the depth of object. Three-dimensional images to be demonstrated on the new 3D image display system will be generated in the following 3 steps: That is; firstly embedding data...
Self-calibration based on rotating cameras is a classical technique for recovering internal parameters which ensures that the camera motion is pure rotation and does not permit translation. In practice, however, it is hard to exactly keep the camera not to translate. Previous studies on this issue are mainly qualitative and less operable for practice applications. In this paper, we experimentally...
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