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In this paper, we propose an image transformation method for correcting projective distortion which commonly occurs in surveillance camera systems. The method geometrically transforms a planar image into an equirectangular image using a spherical image sensor model. The transformation makes objects standing perpendicular to the ground to appear vertically in the image and also makes objects at the...
Pixel-wise coded exposure, as an emerging field of research in computational imaging, is widely implemented in applications such as high-speed imaging, compressive sensing, and focal-stack imaging. In this paper, a complementary metal-oxide-semiconductor (CMOS) pixel design for binary coded exposure is presented. Based on an always-on charge distribution structure, the proposed pixel achieves programmable...
A compact all-CMOS spatiotemporal compressed sensing (CS) video camera is demonstrated. This CS-based framework [1], implemented on integrated circuits, is able to achieve 20-fold reduction in the readout speed and consumes only 14μW to provide 100 fps videos. Taking advantage of dictionary learning and sparse recovery, this prototype image sensor (127×90 pixels) can reconstruct 100 fps videos from...
We have been proposing lensless light-field imaging with Fresnel zone aperture (FZA) in front of an image sensor in a few millimeter spacing. Synthesized shadows of real FZA with the incident light generate moiré fringes interfering with another virtual FZA in a computer and result in reconstructed images by simple Fast Fourier Transformation (FFT). In order to obtain clear images in this configuration,...
The ZiYuan-3 (ZY-3) satellite is China's first civilian high-resolution stereo mapping satellite. The revisit cycle of the ZY-3 satellite is only five days, which means that ZY-3 multi-temporal images are easily available. In this study, the block adjustment of 12 multi-temporal datasets of ZY-3 three-line camera images without ground control points (GCPs) is tested and reported. The bias-compensated...
Advanced Driver Assistance Systems (ADAS) enhance the ability of a vehicle driver to avoid possible road accidents resulting in a safer driving experience. Front camera ADAS is probably the most challenging of all. These systems require high computational processing, in the range of hundreds of GOPS, within a 4 Watt power budget driven by thermal constraints of small enclosed assembly of the final...
Rolling shutter image sensors are increasingly used over global shutter sensors due to their lower cost and reduced size. As is well known in the computer vision community, one drawback of rolling shutter sensors is that they introduce geometric distortions, such as skew or wobble, when either the sensor or objects in the scene move. This problem has received a great deal of attention, and robust...
Due to the spread of smartphones and tablet devices, many photographs are uploaded and shared on the Internet. Cameras often have sensors such as GPS and digital compass. These sensor data are attached to photograph data as metadata. Metadata is helpful to retrieve photographs that show the designated points. For this request, existing systems search the photographs taken in constant distance from...
The use of infrared (IR) imaging to view scenes otherwise invisible to the human eye, simultaneously with visible-spectrum imaging, is increasingly of interest for various applications for such as in-vehicle, surveillance, and agricultural security cameras. The loss of spatial resolution in conventional RGB-IR sensors causes aliasing, because IR pixels are segmented within the provided effective pixel...
Since digital holography was first developed in the early 1990s, camera pixel pitch has decreased considerably. In particular, image sensors targeting the mobile phone market now feature very small pixels with high pixel count. These image sensors, though inexpensive, can be used in digital holography, taking advantage of their fine pixel pitch. This paper describes the use of the Raspberry Pi NoIR...
In this study, we developed a real-time GPU-based high frame rate (HFR) high dynamic range (HDR) imaging system at 500 fps from sequential 4 different low dynamic range (LDR) exposures which exposure time is controlled automatically by our high-speed virtual multi-thread exposure control module. Our automatic exposure (AE) control system is separated as 4 different threads virtually to simultaneously...
Light field cameras capture a scene's multi-directional light field with one image, allowing the estimation of depth. In this paper, we introduce a fully automatic method for depth estimation from a single plenoptic image running a RANSAC-like algorithm for feature matching. The novelty about our method is the global method to back project correspondences found using photometric similarity to obtain...
We introduce a novel hybrid camera configuration composed by a fisheye camera attached to an RGB-D system. Current RGB-D sensors provide the 3D information and scale of the scene, but they are limited by a small field of view. In contrast, wide field of view cameras capture a larger portion of the scene, but providing highly distorted images that require specific algorithms. By coupling a fisheye...
Surveillance footage has become an integral part of law enforcement as video cameras become ubiquitous, affordable and more reliable. Dynamic vision sensor (DVS) emerges as a new sensing technology that outsmarts existing static CMOS image sensors in vision-enabled traffic monitoring, assisted living and high-speed target tracking for its low latency, high temporal resolution and wide dynamic range...
We focus on the road-to-vehicle visible light communication (VLC) that system is composed of a LED matrix as a transmitter and a high-speed camera as a receiver. In this VLC system, intensity of each LED cannot be determined from received image directly in case that the receiver is distant from the transmitter. In previous research, a method to estimate intensity of the LED from received image is...
In the omnidirectional vision, the catadioptric sensors causes a non-uniform resolution and geometric distortions in resulting images, hence, the conventional processing methods are not convenient. The aim of this work is to adapt matching method based on the proximity criterion to omnidirectional stereovision. The adapted method based on geodesic distance since the treatments are done on a spherical...
In this paper, an efficient road detection algorithm is proposed. By exploiting the recent progress of fast stereo matching algorithms, the proposed road detection algorithm relies on the accurate semi-dense disparity map only. The RANSAC algorithm is used to compute road plane parameters on randomly sampled disparity patches. Unreliable patches are removed by introducing a road plane slope constraint,...
The travel time estimation is one of traffic management system which provide time taken from one point to another point. Travel time estimation system consists of an embedded platform with image sensor for detecting and tracking the vehicle. Due to limited resources of embedded board, it makes challenging to measure the travel time especially for fast moving vehicle. Capturing system required a high...
In this paper we describe different procedures to compensate the fixed pattern noise (FPN). These procedures have been developed and tested for a camera designed by us, which is based on a CMOS active pixel sensor (APS). In this kind of sensors, the FPN mainly depends on the noise coming from the column selection electronics. In this sense, we suggest and assess three different methods for FPN compensation:...
Modern cameras have an image sensor with millions of pixels, among which some of them are inevitably defective (known as hot pixels). Moreover, the number of hot pixels will increase with ageing. colour filter array (CFA) demosaicing will result in colour artifacts caused by these hot pixels. Such artifacts are virtually impossible to remove after demosaicing. In this paper, we propose two effective...
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