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There are many scientific, medical and industrial imaging applications where users have full control of the scene illumination and color reproduction is not the primary objective For example, it is possible to co-design sensors and spectral illumination in order to classify and detect changes in biological tissues, organic and inorganic materials, and object surface properties. In this paper, we propose...
In this paper, we propose a consistent-aware deep learning (CADL) framework for person re-identification in a camera network. Unlike most existing person re-identification methods which identify whether two body images are from the same person, our approach aims to obtain the maximal correct matches for the whole camera network. Different from recently proposed camera network based re-identification...
In this paper, we address a haze removal problem from a single nighttime image, even in the presence of varicolored and non-uniform illumination. The core idea lies in a novel maximum reflectance prior. We first introduce the nighttime hazy imaging model, which includes a local ambient illumination item in both direct attenuation term and scattering term. Then, we propose a simple but effective image...
We present a method for radiometric calibration of cameras from a single image that contains a human face. This technique takes advantage of a low-rank property that exists among certain skin albedo gradients because of the pigments within the skin. This property becomes distorted in images that are captured with a non-linear camera response function, and we perform radiometric calibration by solving...
Shadow removal is a challenging task as it requires the detection/annotation of shadows as well as semantic understanding of the scene. In this paper, we propose an automatic and end-to-end deep neural network (DeshadowNet) to tackle these problems in a unified manner. DeshadowNet is designed with a multi-context architecture, where the output shadow matte is predicted by embedding information from...
Night beats with alternating current (AC) illumination. By passively sensing this beat, we reveal new scene information which includes: the type of bulbs in the scene, the phases of the electric grid up to city scale, and the light transport matrix. This information yields unmixing of reflections and semi-reflections, nocturnal high dynamic range, and scene rendering with bulbs not observed during...
Understanding shading effects in images is critical for a variety of vision and graphics problems, including intrinsic image decomposition, shadow removal, image relighting, and inverse rendering. As is the case with other vision tasks, machine learning is a promising approach to understanding shading - but there is little ground truth shading data available for real-world images. We introduce Shading...
this work considers the algorithm of mobile robot recognition and localization on the basis of color patterns, applied in robosoccer. For exact position definition of mobile robots and a ball in robosoccer it is necessary to analyze the image received from camera. Whereas each of these objects on the image has the color pattern consisting of circles, the first step of algorithm is detecting of circles...
In order to reduce the effects caused by complex environments and ambient light conditions, a fast, robust and effective obstacles detection method of vehicles based on image analysis of multi-feature is proposed. Firstly, regions of interest (ROI) which contain lanes, vehicles and few parts of interference background are extracted in the input image by detecting gradient feature in rows. Secondly,...
Capturing high-quality ocean surface images plays an important role in lots of visual tasks about ocean such as marine oil spill tracking and Ulva (U.) prolifera detection. In the natural scene, sun shines the surface of ocean directly and causes specular reflection, the images of ocean surface captured by camera often have large number of specular highlight component which has great negative impact...
Underwater images are known to be strongly deteriorated by a combination of wavelength-dependent light attenuation and scattering. This results in complex color casts that depend both on the scene depth map and on the light spectrum. Color transfer, which is a technique of choice to counterbalance color casts, assumes stationary casts, defined by global parameters, and is therefore not directly applicable...
This paper proposes a new intrinsic image decomposition method that decomposes a single RGB-D image into reflectance and shading components. We observe and verify that, a shading image mainly contains smooth regions separated by curves, and its gradient distribution is sparse. We therefore use ℓ1-norm to model the direct irradiance component — the main sub-component extracted from shading component...
In this paper, we explore different alternatives of solving the challenging problem of providing mobility for visually impaired people using wireless optical communications. This matter falls under the universal design paradigm, referred to produce and design inherently accessible buildings, products and environments, especially suitable for older or handicapped people. This a growing market as life...
Assessment of retinal vessels is fundamental for the diagnosis of many disorders such as heart diseases, diabetes and hypertension. The imaging of retina using advanced fundus camera has become a standard in computer-assisted diagnosis of opthalmic disorders. Modern cameras produce high quality color digital images, but during the acquisition process the light reflected by the retinal surface generates...
This paper provides a novel texture search method for texture images. Creating a computer graphics (CG) is a popular task in many media creations. However, CG creators require their abundant time and effort. In addition, it is difficult for non-professional creators to make a 3D CG scene. This is because that they have to choose appropriate colors, textures, and lighting patterns in addition to 3D...
10nm 2nd generation BEOL technology is described with an optimized illumination system and multi-patterning lithography. While the optimized illumination system offered a possibility to pattern reduced metal pitches in the preferred orientation, difficulties of T-T and T-S patterning still remained. It was overcome by increasing the number of available multi-patterning colors from 2 to 4. First-ever...
Traffic Light Detection(TLD) and understanding their state semantics at intersections plays a pivotal role in driver assistance systems and, by extension, autonomous vehicles. Despite of several reliable traffic light state detection approaches in literature, traffic light state recognition still remains an open problem due to outdoor perception challenge which includes occlusions, illumination and...
Stereo matching is an active research area in computer vision for decades. Most of the existing stereo matching algorithms assume that the corresponding pixels have the same intensity or color in both images. But in real world situations, image color values are often affected by various radiometric factors such as exposure and lighting variations. This paper introduces a robust stereo matching algorithm...
In this paper, we develop a system to remove the background of an image captured in a blue screen environment under non-uniform illumination. We first collected some images as the training data and applied a watershed segmentation to extract a number of coherent regions from these images. With these extracted regions, two mixed Gaussian models for the foreground and background are trained using an...
Detecting pedestrians' spatial locations is a key, yet challenging task in video surveillance. From video sequences, we can apply motion detection algorithm to detect the whole pedestrians, and recognize pedestrians' foot-point locations with foot-point recognition method. While we propose a solution to recognize pedestrians' head-point locations for partially occluded pedestrians in complex scenes...
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