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This paper proposed robust color constancy method for changing illuminant by using local chromaticity distribution and analysis of illuminant influence for each hue angle. First, changing in chromaticity distribution direction for each color with respect to various illuminant is analyzed using principal component analysis. Next, change in standard deviation of chromaticity distribution with respect...
Augmented Reality (AR) scenarios aim to provide realistic blending between real world and virtual objects. A key factor for realistic AR is thus a correct illumination simulation. This consists in estimating the characteristics of real light sources and use them to model virtual lighting. In this paper, we briefly introduce a novel method for recovering both 3D position and intensity of multiple light...
Studio lighting presets can be generated based on the various lighting schemes and their effect on the subject. As access to photography studios is time-limited, generating such presets can help learners to enhance their understanding on the lighting principles and professionals to test an imagined setup and to compare the output with the desired results. The current work uses the principles of simulation...
For the purpose of saving energy, aiming at improving the weakness of traditional lighting system, such as wasting energy and poor flexibility, this paper designs an intelligent home lighting control system with STM32 as the control core and Wi-Fi and ZigBee as the communication mode. The system, through the three-way pulse width modulation(PWM) to achieve the tricolor LED light intensity and color...
In this paper we present a differential approach to photo-polarimetric shape estimation. We propose several alternative differential constraints based on polarisation and photometric shading information and show how to express them in a unified partial differential system. Our method uses the image ratios technique to combine shading and polarisation information in order to directly reconstruct surface...
We show that walls, and other obstructions with edges, can be exploited as naturally-occurring “cameras” that reveal the hidden scenes beyond them. In particular, we demonstrate methods for using the subtle spatio-temporal radiance variations that arise on the ground at the base of a wall's edge to construct a one-dimensional video of the hidden scene behind the wall. The resulting technique can be...
We propose a joint intrinsic-extrinsic prior model to estimate both illumination and reflectance from an observed image. The 2D image formed from 3D object in the scene is affected by the intrinsic properties (shape and texture) and the extrinsic property (illumination). Based on a novel structure-preserving measure called local variation deviation, a joint intrinsic-extrinsic prior model is proposed...
Because visually impaired persons are not able to confirm the appearance of their own face, they are afraid of and uneasy about makeup. We have been developing a system that assists makeup application through verbal feedback according to the appearance of the user's face. The system encourages social communication by helping the user feel confident. In this paper, we introduce a new method of using...
Through hole technology is still playing an important role in the manufacturing of electronics. Thus, there is the need for reliable and contemporary automatic optical inspection of such components. The resistor as one of the most common parts challenges the optical inspection with its colored rings encoding its resistance value. The current approach to inspecting these components is discussed and...
In this work, we propose a new multi-color recognition method based on color constancy model, and present a realtime machine vision-based auto-sorting system corresponding to academic and industrial needs. The proposed color constancy computation method is computed by neighborhood contrast, and furthermore the relationship between the object color and the color constancy parameters is established...
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...
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