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This paper presents a quantum particle swarm optimization solutions for the problem of license plate location, the first image of the vehicle local area adaptive illumination compensation image preprocessing, improving the quality of the picture. Then use the YCbCr color model signals a band compression to achieve illumination compensation. Based on this paper proposes a quantum particle swarm optimization...
The color appearance of an object can vary widely as a function of camera sensitivity and ambient illumination. In this paper, we discuss a methodology for seamless interfacing across imaging sensors and under varying illumination conditions for two very relevant problems in aerial imaging, namely, change detection and mosaicing. The proposed approach works by estimating surface reflectance which...
In this work we describe a Convolutional Neural Network (CNN) to accurately predict the scene illumination. Taking image patches as input, the CNN works in the spatial domain without using hand-crafted features that are employed by most previous methods. The network consists of one convolutional layer with max pooling, one fully connected layer and three output nodes. Within the network structure,...
Wearable augmented reality (AR) systems have the potential to significantly lower the barriers to accessing information, while leaving the focus of the user's attention on the real world. To reveal their true potential, the human-machine interface is crucial. A touchless point-and-click interface for wearable AR systems may be suitable for use in many real-world applications, but it demands fingertip...
In this paper, we introduce new methods to encode color local texture features for enhanced face representation. In particular, we first propose a novel descriptor; color local phase quantization (CLPQ), which incorporates (channel-wise) unichrome and (cross channel) opponent features in frequency domain. Furthermore, we extend the CLPQ descriptor to multiple scales i.e. multiscale color LPQ (MS-CLPQ),...
Digital portrait photographs are everywhere, and while the number of face pictures keeps growing, not much work has been done to on automatic portrait beauty assessment. In this paper, we design a specific framework to automatically evaluate the beauty of digital portraits. To this end, we procure a large dataset of face images annotated not only with aesthetic scores but also with information about...
Tracking multiple targets in nonoverlapping cameras are challenging since the observations of the same targets are often separated by time and space. There might be significant appearance change of a target across camera views caused by variations in illumination conditions, poses, and camera imaging characteristics. Consequently, the same target may appear very different in two cameras. Therefore,...
Our aim is to automatically detect the road borders in a road scene image. This is useful to many road scenes analysis applications, in both fields of vehicle guidance and civil engineering. Difficulties arise because pavements are often heterogeneous and because illumination variations often occur in outdoor scenes. Some vehicle navigation projects use colour images for road borders detection [1,...
The paper describes a complete face authentication system using a combination of color and depth images. Depth information acquired by a novel 3D and color sensor is used for robust face detection, localization and 3D pose estimation. To cope with illumination and pose variations 3D information is used for the normalization of the input images. Illumination compensation exploits depth data to recover...
Apart from wearable sensors and floor sensors, remote fall detection systems can be realized using camera sensors and computer visions methods and this visual based system is accurate, non-intrusive and capable to perform post fall event analysis with the recorded video. To implement visual based fall detection, the foreground segmentation process is crucial in order to provide the right foreground...
This paper proposes a method for palm bimodal biometric feature (vein and crease pattern) acquisition from a single RGB image. Typical bimodal biometric systems require combining infrared and visible images for this task. We use a single CMOS color sensor and a specific illumination comprising of two wavelengths to acquire the image. As a result each biometric modality is more pronounced in its own...
It is extremely time consuming for researchers looking for particular events of interest to manually search in the video database. Therefore, there is enormous scope in research in the field of automatic extraction of key frames from underwater video sequences. Analysis of underwater video poses many challenges to existing techniques in computer vision including camera movement, turbidity, uneven...
This paper presents a novel vehicle color classification technique for classifying vehicles into seven categories under different lighting conditions via color correction. First, to reduce lighting effects, a mapping function is built to minimize the color distortions between frames. In addition to color distortions, the effect of specular highlights can also make the window of a vehicle appear white...
Appearance-based human re-identification is challenging due to different camera characteristics, varying lighting conditions, pose variations across camera views, etc. Recent studies have revealed that color information plays a critical role on performance. However, two problems remain unclear: (1) how do different color descriptors perform under the same scene in re-identification problem? and (2)...
Person re-identification is to match the appearance based images of an individual who has already been captured by different camera perspectives. This paper presents an appearance based model for person re-identification. It consists of the formation of prototypes followed by a matching strategy. The prototypes are discovered from the visual appearances among the individuals with similar characteristics...
Automatic text detection and extraction systems for natural scene images and videos have gained wide attention due to its immense applications in various fields of information retrieval. Many algorithms have been proposed in literature which addresses the problem of text detection. The color uniformity of text characters is one of the strong features which is used in color based text localisation...
Facial recognition is one of the most studied topics in the field of biometrics because of its varied applications. Detection of dark colored faces and poorly illuminated faces are not well studied in the literature due to several challenges. The most critical challenge is that there is inadequate contrast among facial features. To overcome this challenge, a new face detection methodology, which consists...
This paper presents an approach for reidentification based on appearance. The person re-identification is recently introduced and yet an unsolved problem in computer vision. Re-identification refers to identify an individual who has already been observed by different cameras. The appearance of an individual in different cameras looks unlike due to illumination variations and arbitrary pose alternations...
In this work we present an extension of the SIFT algorithm to color images. In the extrema detection stage, an energy level descriptor based on the color tensor of the image is computed and used to locate keypoints candidates. Then, in the description stage, the color gradient magnitude and orientation of the samples around the keypoint are used to compute an orientation histogram to create the keypoint...
This paper proposes the novel technique of processing the leaf images from inconsistent illumination, as opposed to controlled environment approach used by conventional laboratory setup nowadays. The effect of daylight illumination creates major obstacle due to the changes of leaf appearance under different illumination that will affect the subsequent preprocessed image specifically when extracting...
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