The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
A projector is usually coupled with a dedicated projection surface to properly display visual information. This prevents the application of projection in places where a dedicated projection surface is not readily available. This paper presents a method for automatically detecting a good surface in a daily living and working space to support improvisatory projection without a pre-installed projection...
Due to variations in pose and illumination condition, the appearance of can be significantly different in different cameras and the performance of person re-identification is degraded. In this paper, a person re-identification based on multi-level and multi-feature fusion for this phenomenon is proposed. Firstly, we divided each sample into three parts and multi-layer sampling. Secondly, we extracted...
In this work, several state-of-the-art Blind Image Quality Assessment (IQA) metrics and measures are evaluated in order to verify how they behave on extreme conditions such as the ones found on pictures of metallic surfaces. This is an important research topic given that the automation of the image acquisition comprehends one of the essential steps towards the automation and autonomy in many fields...
A lighting system and method has been developed which has shown in testing to allow quality images to be obtained that are free from two particular problems, specular reflections on the subject, and light intensity variation. These problems both diminish the ability to compare objects for attributes such as colour variation, edges, contours, and many other features. The system developed eliminates...
Identifying object in a dynamic scene is one of the main problems in computer vision. This is directly related to solving recognition problem for dynamic texture. Recognizing dynamic texture has become a fundamental problem to understand natural video content. It is a powerful technique for recognizing natural scenes such as fire, waves and smoke. Methods which exist today suffer from various problems...
Low-rank and sparse representation based methods have attracted wide attention in background subtraction and moving object detection, where moving objects in the scene are modeled as pixel-wise sparse outliers. Since in real scenarios moving objects are also structurally sparse, recently researchers have attempted to extract moving objects using structured sparse outliers. Although existing methods...
While metric learning is important for Person reidentification (RE-ID), a significant problem in visual surveillance for cross-view pedestrian matching, existing metric models for RE-ID are mostly based on supervised learning that requires quantities of labeled samples in all pairs of camera views for training. However, this limits their scalabilities to realistic applications, in which a large amount...
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...
In this paper we describe the 3D acquisition component integrated in the Sound of Vision (SoV) system. SoV is a computer vision based sensory substitution device (SSD) for the visually impaired. Its main objective is to provide the users with a 3D representation of the environment around them, conveyed by means of the hearing and tactile senses. One of the biggest challenges for the SoV system is...
Diminished reality (DR) is a technique to remove or inpaint real objects in a display. While DR is one of the active topics in the ISMAR community, a fair comparison between existing or emerging DR methods is difficult, that is, many methods rely on subjective evaluation that uses their own results to demonstrate their advantages. We, therefore, present a common dataset as a basis of the research...
Structured lighting is a computer vision technique that projects illumination patterns onto the scene to facilitate feature extraction from the captured images. The use of lowcost cameras is avoided not only due to their low image quality but mostly due to the lack of a synchronization mechanism for the illuminators. In this paper we propose a method to synchronize low-cost cameras and illuminators...
When rendering virtual objects in a mixed reality application, it is helpful to have access to an environment map that captures the appearance of the scene from the perspective of the virtual object. It is straightforward to render virtual objects into such maps, but capturing and correctly rendering the real components of the scene into the map is much more challenging. This information is often...
Outdoor lighting has extremely high dynamic range. This makes the process of capturing outdoor environment maps notoriously challenging since special equipment must be used. In this work, we propose an alternative approach. We first capture lighting with a regular, LDR omnidirectional camera, and aim to recover the HDR after the fact via a novel, learning-based inverse tonemapping method. We propose...
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...
3D images of moving objects can be achieved with a surveillance camera and four white light-emitting diodes. With these simple components, an imaging rate of 15 Hz is possible, limited by the camera framerate.
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...
Surface shape scanning techniques, such as laser scanning and photometric stereo, are widespread analytical tools used in the field of cultural heritage. Compared to regular 2D RGB photos, 3D surface scans provide higher fidelity of an object's surface shape which assist conservators, art historians, and archaeologists in understanding how these artworks and artifacts are made and to digitally document...
This paper presents the first photometric registration pipeline for Mixed Reality based on high quality illumination estimation using convolutional neural networks (CNNs). For easy adaptation and deployment of the system, we train the CNNs using purely synthetic images and apply them to real image data. To keep the pipeline accurate and efficient, we propose to fuse the light estimation results from...
In this paper, we propose the architecture and schemes of optical camera communication (OCC) system for the internet of lights (IoL) comprising an attentive indoor environment in which rolling-shutter cameras (including smartphone cameras) are used to receive data from light sources. Evidently, the challenges of system mainly come from the receiver side because the primary purpose of cameras is to...
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...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.