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We present a single-shot system to recover surface geometry of objects with spatially-varying albedos, from images captured under a calibrated RGB photometric stereo setup—with three light directions multiplexed across different color channels in the observed RGB image. Since the problem is ill-posed point-wise, we assume that the albedo map can be modeled as piece-wise constant with a restricted...
LiDAR (Light Detection And Ranging) acquisition is a widespread method for measuring urban scenes, be it a small town neighborhood or an entire city. It is even more interesting when this acquisition is coupled with a collection of pictures registered with the data, permitting to recover the color information of the points. Yet, this added color can be perturbed by shadows that are very dependent...
Colors have a great impact on human psychology. Type of color and its intensity can control the degree of human activity. This fact has been known for decades. Yet so less has been done to put it to use. This paper explains how we can change the color and intensity of light in our home or work place from time to time or activity to activity, to get our best output. In this paper, the authors have...
Point-of-care testing (POCT) has transformed the healthcare landscape by delivering quick and cheap diagnostic services closer to the patient. Urine test strips are one of the most commonly used POCT tools, however their manual interpretation can be challenging, particularly for the elderlies and people with eye disorders. In this study, we propose a smartphone application designed to automatically...
Conventional vehicle detection algorithms with rear-lamp mostly utilize color data. However, due to the specification of night-time environment with low-light, the color data often has not fully information. To resolve that problem, this paper contains vehicle detection algorithm using only gray value of rear-lamp in night-time. Unlike implement binarization with the color data and gray value, this...
The color constancy has potential to displace the precise colors in provided picture by considering the effect of color light source. Many color constancy techniques has been suggested until now to increase the color constancy precision fee further. In existing literature number this type of technique is available which acts optimistically generally in most case. Though the color cat indicates efficient...
Face recognition has an important role in the age of information technology to improve comfort and security. Various face recognition algorithms are proven to be effective if done under a controlled environment. However, recognition performance will decrease significantly in the uncontrolled environment, for example caused by illumination variation. This paper discusses the approach to deal with varying...
Color inconsistency poses many difficulties when capturing the same object using different image capture devices. Color is one of main parts in image preprocessing and therefore color correction is needed to calibrate images in order to produce consistent color values. In this paper, we propose a new color correction method by employing combined linear regression with stepwise model to enhance the...
In this paper, we propose a computer vision system that detects the external defects of orange citrus fruits using multi-spectral imaging sensor. First, the proposed algorithm segments the orange fruit from the captured Near-Infra Red (NIR) and RGB images using only the NIR component. Second, some adaptive pre-processing techniques are applied on the segmented RGB and NIR orange fruit images. Hence,...
Object localization is a powerful technique to analyze certain features on particular objects for either general or specific purpose(s). To localize object within image frames, the background subtraction scheme is generally implemented as an unequivocal technique that pre-processes die corresponding input frame. Nevertheless, despite the prior developments and applications of various techniques for...
Road sign recognition plays an exigent role for easy, immune and suitable driving. In this paper, a road sign detection system is developed to automatically recognize Bengali road signs. The proposed method is based on HSV transformation along with a template matching technique to detect and recognize circular, triangular, rectangular and octagonal signs and it covers all existing Bengali road signs...
Contents carried in an image are valuable information sources for many scientific and engineering applications. However, if the image is captured under low illumination conditions a large portion of the image appears dark and this heavily degrades the image quality. In order to solve this problem, a restoration algorithm is developed here that transforms the low input brightness to a higher value...
With the development of face recognition technology, it is already being applied in various fields such as security and robotics. However, products associated with face recognition systems are difficult to commercialize because of the absence of evaluation methods that reflect the actual service environment. The best way to evaluate face recognition performance is evaluation by real people or methods...
Most of the existed stage lighting control systems have problems, including difficulties of high cost, low intelligence, the installation and deployment and so on. A control system of stage LED light based on Android smart phone is proposed in this paper, the system contains three parts. The first part is the establishment of interface, users can adopt the slider button to control the diversification...
The various systems using the information of pupil diameter variation have been studied and developed. These systems are presupposed to be operated on a general-purpose PC or a portable terminal. To obtain the information of pupil diameter, a near-infrared camera and illuminations are required. However, the conventional PC or portable terminal does not have a near-infrared camera and illumination...
The demand for efficient enhancement methods of underwater images of the rivers in the Amazon region is increasing. However, most of those in the region present moderate turbidity and low luminosity. This work aims to improve these images by non-linear filtering techniques, which promote the minimization of light interaction characteristics with the environment, loss of the contrast and colors. The...
In this paper, we studied some pre-process methods that make the feature matching faster, accurate and proper to be used in the photo mosaic process. Two properties and two image processing technique were considered: channel, size, contrast enhancement, and Gaussian smoothing. We investigated how they affect the feature quantity and matching result by controling related parameters. The smallest number...
Vision-based place recognition in underwater environments is a key component for autonomous robotic exploration. However, this task can be very challenging due to the inherent properties of this kind of places such as: color distortion, poor visibility, perceptual aliasing and dynamic illumination. In this paper, we present a method for vision-based place recognition in coral reefs. Our method relies...
We present a method for recovering both incident lighting and surface materials from casually scanned geometry. By casual, we mean a rapid and potentially noisy scanning procedure of unmodified and uninstrumented scenes with a commodity RGB-D sensor. In other words, unlike reconstruction procedures which require careful preparations in a laboratory environment, our method works with input that can...
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...
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