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A laser divided-aperture confocal sensing technology (LDCST) with virtual pinhole and CCD detection is proposed, which sets illumination pupil and collection pupil symmetrical about the objective optical axis on objective pupil plane, and uses a CCD as detector. LDCST sets a micro-region at focus on the CCD imaging plane as a virtual pinhole, can freely adjust the position and size of the pinhole...
We present an evaluation of standard image features in the context of long-term visual teach-and-repeat mobile robot navigation, where the environment exhibits significant changes in appearance caused by seasonal weather variations and daily illumination changes. We argue that in the given long-term scenario, the viewpoint, scale and rotation invariance of the standard feature extractors is less important...
Skin detection is an essential preliminary step in many applications. Most skin detectors are color based. The distributions of skin and non-skin colors overlap, and so color cannot fully discriminate between skin and non-skin pixels. Skin detection is made more difficult by the need to be able to robustly detect skin in a wide range of illumination settings. Several color correction methods have...
Augmented reality is becoming the future of e-commerce, throw their mobile devices, customers have access to all kind of information, going from weather, news papers, shops and so on. Today's mobiles devices are so powerful to the point that they can be used as a platform of virtual try-on systems. Over this paper we present a virtual eye glasses try-on system based on augmented reality and LBP for...
A CMOS-compatible, visible, plenoptic (angle, polarization and wavelength) detector, based on a grating-coupled waveguide structure, is demonstrated with an angular resolution of < 1° and a corresponding wavelength resolution of < 5 nm.
New generation autonomous vehicles use different data fusion techniques to solve the Simultaneous Localization And Mapping (SLAM) problems in urban terrains. However, the majority of the implementations uses high-cost sensors like LIDAR to obtain a high accuracy map. In this paper, we present a method to solve this problem using sequences of stereo images. Our approach uses Local Intensity Order Pattern...
There are a multitude of civilian and military applications for the detection of anomalous changes in hyperspectral images. Anomalous changes occur when the material within a pixel is replaced. Environmental factors that change over time, such as illumination, will affect the radiance of all the pixels in a scene, despite the materials within remaining constant. The goal of an anomalous change detection...
This paper presents a performance evaluation of a mobile multi-gigabit visible light communication (VLC) system in two different environments. The VLC channel characteristics and links were evaluated under the diverse situations of an empty room and a room with very strong shadowing effects resulting from mini cubicle offices. RGB laser diodes (LDs) were used to mitigate the low modulation bandwidth...
Detecting an abandoned object in crowded scenes of surveillance videos becomes more complex task due to occlusions, lighting changes, and other factors. In this paper, a new framework to detect abandoned object using dual background model subtraction is presented. In our system, the adaptive background model is generated based on statistical information of pixel intensity that robust against lighting...
In the paper, we report a high photoexcited carrier multiplication photodetector operating at room temperature. The photodetector has double AlAs barriers in which a layer of InAs self-assembled quantum dots and thin quantum well is embedded in the center of the GaAs quantum well. Unlike previous AlGaAs QD-RTD, its shows high sensitivity to the weak light irradiation at low bias voltage and the operating...
The subject of this paper is to provide an illumination invariant moving object detector for indoor surveillance applications. Furthermore we want to treat the illumination change as a mathematical/physical transformation procedure on images. Therefore the intention to this paper could also be defined as to provide an operator, which is invariant to transformations. The proposed detector relies on...
A finished product should be quality assured to meet the needs, expectations and requirements it is intended for. As quality through human inspection may lead to errors and may not be adequate for instant and mass production, current high speed production lines require automated inspection with precise critical objective measurements and high reliability. Image processing has become a key tool in...
An efficient and almost automatic method for stereo pair extraction of aerial photos is proposed. There are several challenging problems that needs to be taken into consideration when creating stereo pairs from historical aerial photos. These problems are discussed and solutions are proposed in order to obtain an almost automatic procedure with as little input as possible needed from the user. The...
This paper presents the detection and localization methods of entrance and staircase markers for the team E-Mobile in TechX Challenge 2013. Autonomous vehicles are required to detect and locate traffic cones beside the indoor entrance and staircase. One big challenge is from the unpredictable lighting conditions and environment. Different practical techniques such as color space selection, segmentation,...
Text detection in scene images has gained widespread interests. A notable work, which is the Stroke Width Transform (SWT), has been attracting much interests due to its simplicity and efficiency. However, the SWT has difficulty in situations such as blur, low contrast, and illumination change images since it highly relies on the outcome from the edge detector. In this paper, a novel method is proposed...
Edge illumination (EI) X-ray phase-contrast imaging has great potential for applications in a wide range of research, industrial and clinical fields. The optimization of the EI experimental setup for a given application is therefore essential, in order to take full advantage of the capabilities of the technique. In this work, we analyze the dependence of the angular sensitivity, spatial resolution...
Edge illumination is an X-ray phase-contrast imaging technique capable of quantitative retrieval of phase and amplitude images. The retrieval of the ultra-small-angle X-ray scattering was recently developed and implemented with the area-imaging counterpart of an edge-illumination system, sometimes referred to as coded-aperture setup. This is an incoherent and achromatic technique, well suited for...
An unmet demand for high resolution tomographic imaging modalities providing enhanced soft tissue contrast exists in a number of biomedical disciplines. X-ray phase contrast imaging (XPCi) methods can provide a solution: contrast is driven by phase (refraction) effects rather than attenuation effects, the formers being much larger than the latters for weakly attenuating materials and energies typically...
We propose a novel approach for detecting keypoints invariant to scale changes based on M-wavelet theory. The theory description and detecting process of our approach are presented The comparative evaluation of different detectors shows our approach can provides a competent performance in rotation invariant, scale invariant, illumination invariant and noiseproof. In terms of scale changes, our proposed...
Skin detection is one the most studied subjects in vision literature. Due to the appealing features of skin segmentation algorithms, they are widely used in different biometric applications such as face detection, face recognition, face tracking, hand gesture recognition, etc. However, several challenges such as nonlinear illumination, equipment effects, personal interferences, ethnicity variations,...
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