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Many parking garages and open parking spaces today are already equipped with surveillance cameras to increase the security of pedestrians or to record potentially illegal actions. An additional use case for such multi-camera surveillance systems is the automatic extraction of 3D-positions of objects and pedestrians. The safety of autonomous vehicles could benefit from this information in cases where...
In this paper, we present a method for regularizing noisy 3D reconstructions, which is especially well suited for scenes containing planar structures like buildings. At horizontal structures, the input model is divided into slices and for each slice, an inside/outside labeling is computed. With the outlines of each slice labeling, we create an irregularly shaped volumetric cell decomposition of the...
This paper introduces GUMS, a complete projection model for omnidirectional stereo vision systems. GUMS is based on the existing generalized unified model (GUM), which we extend in order to satisfy a tight relationship among a pair of omnidirectional views for fixed baseline sensors. We exemplify the proposed model's calibration via a single-camera coaxial omnistereo system in a joint bundle-adjusted...
We introduce the distributed camera model, a novel model for Structure-from-Motion (SfM). This model describes image observations in terms of light rays with ray origins and directions rather than pixels. As such, the proposed model is capable of describing a single camera or multiple cameras simultaneously as the collection of all light rays observed. We show how the distributed camera model is a...
We present a system which is able to reconstruct human faces on mobile devices with only on-device processing using the sensors which are typically built into a current commodity smart phone. Such technology can for example be used for facial authentication purposes or as a fast preview for further post-processing. Our method uses recently proposed techniques which compute depth maps by passive multi-view...
In this paper, we address the problem of the image-based 3D pose computation of a semi-circle suturing needle using monocular image feedback for laparoscopy. We propose a constrained two-degree-of-freedom (2-DOF) geometry-based modelling method to parametrise the needle's 6-DOF pose, including depth information. The modelling solely relies on the simultaneous observation of the needle's apparent tip...
Natural or man-made disasters often result in trapped victims under rubble piles. In such emergency response situations, Urban Search and Rescue (USaR) teams have to make quick decisions to determine the location of possible trapped humans. The fast 3D modelling of collapsed buildings using images from Unmanned Aerial Vehicles (UAVs) can significantly help the USaR operations and improve disaster...
Energy saving is an effort to decrease and minimize unnecessary energy consumption. The energy saving and energy efficiency is one of the famous issues in the last decade since the energy resource is rapidly depleted. Reducing unnecessary energy consumption could be performed by architectural design or automatic system approach. This paper proposes an idea to develop a model of energy usage in a room...
Foreground detection is the classical computer vision task of segmenting out motion information from a particular scene. Foreground detection using Gaussian Mixture Models (GMM) is the famous choice. Since first time proposed, many researchers tried to improve GMM. This paper focuses on the comparative evaluation of three most famous improvements in the algorithm. The improved methods are compared...
This paper proposes a method for detecting moving objects appeared in video captured by a moving camera. The proposed method relies on dense optical flow to differentiate moving objects from static background. Whenever video taken from a static camera is used, the dense optical flow itself is sufficient to determine the moving object in the scenes. However, in a non-static camera, all pixels are moving...
This paper describes a method of image sharpness evaluation while taking into account the photographer's aesthetic intention. The main idea is utilizing a visual importance map that estimates the weight of each pixel to guild evaluating image sharpness. The visual importance map is computed automatically with a saliency detection algorithm based on global color contrast. Our technique allows to treat...
We present a practical approach for personalized simulation and objective validation of the effects of low-order aberrations (i.e., myopia, hyperopia and astigmatism) on optical systems, such as the human eye. We characterize the optical aberrations using a wavefront aberration function derived from one's eyeglasses or contact lenses prescription data, expressed in terms of Zernike polynomials. Given...
The aim of this work is to improve driver awareness by proposing a collision risk analysis method. Pedestrian in the scene is observed by sequential frames from monocular camera mounted on the car. Positional information of object is extracted by projecting the centroid of bounding box on the ground plane. Four elements of collision criteria are constructed which are pedestrian walking direction,...
Specularities, which are often visible in images, may be problematic in computer vision since they depend on parameters which are difficult to estimate in practice. We present an empirical model called JOLIMAS: JOint LIght-MAterial Specularity, which allows specularity prediction. JOLIMAS is reconstructed from images of specular reflections observed on a planar surface and implicitly includes light...
A background modeling method for motion-based background of a video made by moving camera is proposed in this paper. We utilize the recently proposed context-encoder to model the motion-based background from a dynamic foreground. This method aims to restore the overall scene of a video by removing the moving foreground objects and learning the feature of its context. An advantage of this method is...
Crowd simulation technologies and systems can show and tell a lot of insights on massive crowds' movement behavior. Benefiting from such characteristics, they have found themselves useful in many application fields. On the other hand, a typical educational institution, such as university, has a large body of student population, whose course schedules dominate their daily movement patterns. How to...
Handing rotation-only camera motion is challenge work for current direct (featureless) monocular SLAM with six degrees of freedom. In rotation-only camera motion, existing systems can't estimate and update depth map and will get tracking failure. In this paper, a probabilistic depth map model is proposed based on Bayesian estimation in a per-pixel level. Both rotation-only and general camera motion...
Recently, smart vehicle technology gains increasing attractions for the driving security. In this context a front-view camera plays an important role in avoiding collision between vehicles. This paper presents a distance measurement system for driver safety. The proposed method consists of three steps: (i) estimation of distortion function, (ii) tracking features in the license plate region, and (iii)...
Augmented Virtual Environment (AVE) has been proved efficient in the field of image browsing and video surveillance. Previous works rarely concern on transition between images and videos at different locations. We seek to develop an automatic path planning method to find the way of the transition and willing to help to improve the observer's sense of direction. We firstly propose a viewpoint quality...
The quest for finding the killer application for Industrial Augmented Reality(IAR) is still active. The existing solutions are ingenious but most can not be directly integrated with the existing industrial workflows. Generally, IAR applications require modifications in the industrial workflows depending on the tracking methodology. These modifications end up being an overhead for the users and deter...
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