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We introduce a novel formulation of temporal color constancy which considers multiple frames preceding the frame for which illumination is estimated. We propose an end-to-end trainable recurrent color constancy network – the RCC-Net – which exploits convolutional LSTMs and a simulated sequence to learn compositional representations in space and time. We use a standard single frame color constancy...
Estimating surface reflectance (BRDF) is one key component for complete 3D scene capture, with wide applications in virtual reality, augmented reality, and human computer interaction. Prior work is either limited to controlled environments (e.g., gonioreflectometers, light stages, or multi-camera domes), or requires the joint optimization of shape, illumination, and reflectance, which is often computationally...
Current fiducial marker detection algorithms rely on marker IDs for false positive rejection. Time is wasted on potential detections that will eventually be rejected as false positives. We introduce ChromaTag, a fiducial marker and detection algorithm designed to use opponent colors to limit and quickly reject initial false detections and grayscale for precise localization. Through experiments, we...
We introduce a novel method to obtain high-quality 3D reconstructions from consumer RGB-D sensors. Our core idea is to simultaneously optimize for geometry encoded in a signed distance field (SDF), textures from automatically-selected keyframes, and their camera poses along with material and scene lighting. To this end, we propose a joint surface reconstruction approach that is based on Shape-from-Shading...
High-quality custom-made 3D masks are increasing becoming a serious threat to face-recognition systems. This threat is driven, in part, by the falling cost of manufacturing such masks. Research in face presentation-attack detection (PAD) in general, and also specifically for 3D-mask based attacks, has mostly concentrated on imagery in the visible-light range of wavelengths (RGB). We look beyond imagery...
Similarity rank lists provide a method for learning generalization of classifiers from examples. Here, we apply it to invariant object recognition and demonstrate that it performs better than other approaches on view and illumination invariant recognition. Recognition from a single view reaches 87% success rate. To study its real world capabilities we introduce subsqare rank matching that works on...
The image segmentation algorithm is the most challenging step and requires more computer processing power than the boundary filtering, and the Cullen et al's method, which used the Cullen et al's method to determine the electrodes tip width automatically in the automotive industry in real time. The author has proposed and built an active illumination system that captures a backlit image of the electrode's...
Gesture represents a non-verbal means of communication between people. It comes from poses or movements performed by the human body. Nowadays, hand gestures are the new modality for human and computer interaction. In real-time applications based on hand gestures, the main challenge is to detect the hand(s). In this paper, we present and analyze existing approaches for real-time hand detection. Then,...
The article is devoted to the development of the technical vision system, which is used to control the operation of the harvesting unit of robot for gathering berries. The authors offer technical and software solutions to simplify the maintenance of the robot. Special attention is paid to methods of recognition of wild plants under various external conditions and disturbances.
For people with spoken and motoric disabilities, doing some basic daily activities will need some help from another people. Misunderstanding usually happen when people around them can not interpret their desire because of limit In this paper, an eye gaze tracking system will be built to operate the communication system. The processes which are used in this system, first the face and left eye area...
In this paper, the authors present results of subjective experiments undertaken at BBC R&D. The results show that it is possible to simply adjust the system gamma (γ) of a Hybrid Log-Gamma High Dynamic Range (HDR) television display to perceptually match images shown on a screen in a non-reference viewing environment to those shown on the same screen in a reference viewing environment.
To improve text detection and text recognition in natural scenes, it is important to improve legibility by removing the effects of illumination on the image. Therefore, in this study, we present a signal enhancement method for the dark regions in the image. In addition, we propose a procedure to reduce computational complexity of the bilateral filter that is used to estimate the illumination in our...
We studied the problem of classifying textured-materials from their single-imaged appearance, under general viewing and illumination conditions, using the theory of random matrices. To evaluate the performance of our algorithm, two distinct databases of images were used: The CUReT database and our database of colorectal polyp images collected from patients undergoing colon capsule endoscopy for early...
In this paper, we propose Local Adaptive Hybrid Pattern (LAHP) to use intrinsic properties, both edge and color, of each pixel adaptively (inspired from LHP based methods) while using a single feature representation (inspired from LOBSTER). The proposed LAHP encodes edge and color information, and an adaptive factor based on gradient magnitude together as a single feature. We introduce a way to calculate...
Color estimation of illuminants has been applied to various applications such as the correction of white balance and color normalization for machine vision. The color estimation from a single image, however, is still challenging because each pixel value depends on three components: illumination, reflection, and characteristic of an image sensor, whose decomposition is a hard inverse problem. This...
Color features extraction is one among methods widely used for mouth extraction. This relates to specific features possessed by mouth color compared to others facial components. Mouth has a strong chromatic color for red but weak for blue. Color features extraction produces colors that are used to generate a mouth map. This map is required for mouth extraction. Some previous researches on mouth extraction...
Multi-object tracking is an important computer vision task with wide variety of real-life applications from surveillance and monitoring to biomedical video analysis. Multi-object tracking is a challenging problem due to complications such as partial or full occlusions, factors affecting object appearance, object interaction dynamics, etc. and computational cost. In this paper, we propose a detection-based...
We present a method for removing specular highlight reflections in facial images that may contain varying illumination colors. This is accurately achieved through the use of physical and statistical properties of human skin and faces. We employ a melanin and hemoglobin based model to represent the diffuse color variations in facial skin, and utilize this model to constrain the highlight removal solution...
Improvements in color constancy have arisen from the use of convolutional neural networks (CNNs). However, the patch-based CNNs that exist for this problem are faced with the issue of estimation ambiguity, where a patch may contain insufficient information to establish a unique or even a limited possible range of illumination colors. Image patches with estimation ambiguity not only appear with great...
We present a method for synthesizing a frontal, neutral-expression image of a persons face, given an input face photograph. This is achieved by learning to generate facial landmarks and textures from features extracted from a facial-recognition network. Unlike previous generative approaches, our encoding feature vector is largely invariant to lighting, pose, and facial expression. Exploiting this...
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