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Color correction is an important problem in image stitching. There is a color inconsistency issue between the images (good quality as a reference image and bad quality as a test image) to be stitched. This paper presents a color correction approach with histogram specification and global mapping. The proposed algorithm can make images share the same color style and obtain color consistency. There...
Automated hand detection is useful for applications requiring reliable hand posture and hand gesture processing. Such applications include human-computer/human-robot interfaces for rehabilitation, serious games, or non-invasive medical diagnosis. Hence, in this paper, we focus on the design and development of a robust and fast hand detection and tracking (HD) system. The design of our HD system involved...
Traffic Sign Detection and Recognition is an important component of intelligent transportation systems. It has captured the attention of the computer vision community for several decades. In this paper, we propose a new traffic sign detection and recognition approach consisting of color segmentation, shape classification and recognition stages. In the first stage, the image is segmented using look-up...
Facial expression details are important visual cues to interpret expressions, which are also hard to be synthesized. We propose a novel facial expression transferring method to synthesize realistic colorful facial expressions with source-specific expression details. First, we choose YUV color space to represent the expression images. In Y channel of the color space, the expression image of the source...
In this paper, we propose a method to separate diffuse and specular reflection in dichromatic reflection objects without the need for color space analysis. Based on the histogram distribution of the input image, we assume that a specular reflection tends to increase the brightness value and thus it can be separated from diffuse reflection using thresholding technique. To find the optimal threshold...
In camera captured document image analysis, specular highlights on glossy document surfaces often have negative effects on state-of-the-art Optical Character Recognition systems. Traditional highlight removal methods rely on either texture information from a single image or specific hardware setups to fuse complementary visual cues from multiple images. Motivated by the image stitching approaches...
Image enhancement is widely used and approved in the field of business, education and academia. As one classic model of enhancement, Retinex theory based model can obtain high-quality results in most cases. However, it is difficult for Retinex theory based model to deal with the problem of color distortion and halo artifacts. Aiming at the problem above, we proposed one multi-scale MSRCP algorithm...
Color constancy is a concept used in various computer vision applications, such as image segmentation, object recognition, scene classification, and image forensics. This work speaks about designing an adaptive color constancy algorithm which identifies the regions of skin found in faces. Illumination level is estimated by training and is corrected using proposed algorithm with different source of...
The notion of subjective image quality (SIQ) is particularly difficult to define as it depends on a large variety of physical attributes and psycho-physical factors. One important attribute which SIQ depends on is the illumination under which visual stimuli are observed. Recent studies have shown that achromatic fidelity (i.e. perceived resemblance in lightness) is significantly less dependent on...
Human biometrics are regarded as groundbreaking tools for preserving privacy and security in many computer vision applications such as, biometric authentication, secure access control, visa processing, and border checking. Biometric features such as, fingerprint, face, retina, iris patterns, voice waves, palm print and signatures are commonly used in biometric authentication. However, in recent years...
Since the breakthrough of backward ray tracing algorithms, computational grids have proved to be a necessity in the development of the high-quality graphic industry. They can provide infrastructure for nested and multileveled parallelism in addition to high computing power, hence, meeting both the demanding requirements and nature of complex ray tracing. In addition, multithreading techniques, such...
Obstacle detection and tracking is essential module for autonomous driving. Vision based obstacle detection and tracking faces huge challenges due to factors like cluttered background, partial occlusion, inconsistent illumination, etc. In this paper, we propose a robust and low complexity stereo-vision based obstacle detection and tracking framework. Low complexity techniques are employed to detect...
Shadows have a significant effect on the performance of many computer vision tasks, such as object tracking, action recognition, and structure health monitoring. In many object detection systems, shadows are often misclassified as parts of the moving objects or independent moving objects. As a result, the performance of these subsequent higher-level tasks is adversely affected. This paper presents...
In this paper, we present a learning-based brake light classification algorithm for intelligent driver-assistance systems. State-of-the-art approaches apply different image processing techniques with hand-crafted features to determine whether brake lights are on or off. In contrast, we learn a brake light classifier based on discriminative color descriptors and convolutional features fine-tuned for...
Extracting hand regions and their grasp information from images robustly in real-time is critical for occupants' safety and in-vehicular infotainment applications. It must however, be noted that naturalistic driving scenes suffer from rapidly changing illumination and occlusion. This is aggravated by the fact that hands are highly deformable objects, and change in appearance frequently. This work...
Early detection of abnormality in image of skin is now considered the crucial contributor for successful treatment. We explored how constructing a sparse neighborhood net of pixels and distinction of patches in the image feature analysis play a role for diagnostic ability of lesion segmentation. Since image patches are considered like circumstance of many factors including skin tone, skin aberrations...
Since the lighting conditions in strong contrast regions between the light and dark cant be estimated accurately by traditional center/surround Retinex algorithm, the over-enhancement and color distortion may exist. In view of this, combining with the human visual characteristics, a color image enhancement algorithm based on tone-preserving was proposed. A determination function was added to the bilateral...
One of the key challenges of remote sharing systems based on camera-projector pairs is the visual echo problem. However, existing visual echo cancellation schemes are either too theoretical or hardware-dependent to deploy for common use in arbitrary systems. Therefore, we present a simple and practical visual echo cancellation scheme. Experimental results shows that our system exhibits performance...
In this paper we propose a new vision-based obstacle avoidance strategy using the Underwater Dark Channel Prior (UDCP) that can be applied to any Unmanned Underwater Vehicle (UUV) equipped with a simple monocular camera and minimal on-board processing capabilities. For each incoming image, our method first computes a relative depth map to estimate the obstacles nearby. Then, the map is segmented and...
This article is devoted to shadow detection and removal algorithm for very high resolution satellite images. The shadows were identified by shadow detection index calculation and thresholding. In this work the Otsu method is applied to determine the optimal threshold of binarization. After obtaining a shadow binary mask, we restore illumination in the shadow areas by using a shadow formation model...
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