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Regarding the palms recognition system studies, despite achieving a high success rate, hygiene problems in systems with contact and problems arising from changes in the alignment of the hand pose in non-contact ones have been encountered. To resolve these problems, 3D palmprint recognition systems have been developed, however these systems have not had the opportunity to spread due to expensive technologies...
In this paper, an efficient unsupervised approach for extracting objects from maritime background using solely still video images is proposed. Its main idea is that maritime background (sea) has the main particularity of absorbing only hot light frequencies (red and green), while an object has not this property. Therefore if a timely vector of class features is considered, then two distinct statistical...
This work describes a new approach to the mobile robot orientation in space and its obstacle determination. The method uses color beacons placed on the environmental objects for position determination. For obstacle detection the computer vision algorithm is used. All the system functions using one single camera. Both algorithms developed are investigated under different conditions.
In this paper, we present a method of camera-based document image retrieval for heterogeneous-content documents using different types of features from different layers of information. We use two kinds of features in this paper (Locally Likely Arrangement Hashing — LLAH — and SIFT reduced dimensions using PCA). Then, a single hash table method is used for indexing these multiple kinds of feature vectors...
We present a system that measures veillance flux, the ability of a camera to see, as the flux propagates through space. By wearing a veillance-integrating device, individuals are given an accumulated dosage readout based on their presence or absence in the veillance field of various cameras. The dose readout can be used as a score for players in an image-capture gaming environment, and as a means...
Small unmanned air vehicles (UAVs) provide an economical means of imaging large areas of terrain at far lower cost than satellites. Applications range from precision agriculture to disaster response and power line maintenance. Because small UAVs fly at low altitudes of approximately 100 meters, their cameras have only a limited field of view and must take thousands of photographs to cover a reasonably...
Deep sea aquatic animal propulsors are classified into four main categories lift-based propulsion, drag-based propulsion, undualtion mode and jet propulsion. In order to develop combined flapping and undulation mode propulsion for ships and underwater vehicles a brief introduction is given to lift-based propulsors and undulation mode. Combined bio-mimetic flapping and undulation mode propulsion systems...
A 3-dimensional augmediated reality (AR) environment was designed, where users can physically walk through space, and by looking through AR glasses can see and interact with hidden veillance flux produced by cameras. Surveillance cameras, physically attached to a room, as well as handheld and body-worn cameras, each emit veillance flux and have a veillance field — a mathematical formulation of their...
To achieve a usable range measurement feature using a Vehicle-Mounted monocular camera for ADAS (Advantage Drive Assist System), a pitch angle estimation with high accuracy is required. We propose a method for estimating pitch angle with a non-occurrence of cumulative error, and the initial pitch angle can be estimated simultaneously with only a Vehicle-Mounted monocular camera. We use the Harris-corner...
The focus of this work is addressing the challenges of performing object recognition in real world scenes as captured by a commercial, state-of-the-art, surveying vehicle equipped with a 360° panoramic camera in conjunction with a 3D laser scanner (LIDAR). Even with state-of-the-art surveying equipment, there is colour saturation and very dark regions in images, as well as some degree of time-varying...
Some aerial tasks are achieved more efficiently and at a lower cost by a group of independently controlled micro aerial vehicles (MAVs) when compared to a single, more sophisticated robot. Controlling formation flight can be cast as a two-level problem: stabilization of relative distances of agents (formation shape control) and control of the center of gravity of the formation. To date, accurate shape...
Visual markers are useful tools assisting visual recognition of object pose in robotic applications. But they have two fundamental problems in orientation estimation. One is degradation of orientation accuracy in frontal observation. The other is “pose ambiguity” that the orientation cannot be determined uniquely. We previously developed a novel visual marker “LentiMark” which solves the former problem...
In this paper, we present a new approach to spatially self-organize a modular artificial skin in 3D space. We were motivated by the demand to efficiently and automatically acquire the position and orientation of a steadily growing number of artificial skin sensor elements. Here, we combine our 3D surface reconstruction algorithm for individual patches of artificial skin, with a common active visual...
The integration of several range cameras in a mobile platform is useful for applications in mobile robotics and autonomous vehicles that require a large field of view. This situation is increasingly interesting with the advent of low cost range cameras like those developed by Primesense. Calibrating such combination of sensors for any geometric configuration is a problem that has been recently solved...
In this paper, we address the visual servoing problem of robot manipulators with eye-in-hand cameras. To servo-control the image position of a feature point, traditional image-based controllers require the computation of the point's position vector with respect to the camera's frame. However, when the point's location is uncertain, the stability of traditional visual servoing controllers can not be...
This paper presents a camera control approach for learning unknown nonlinear target dynamics by approximating information value functions using particles that represent targets' position distributions. The target dynamics are described by a non-parametric mixture model that can learn a potentially infinite number of motion patterns. Assuming that each motion pattern can be represented as a velocity...
In this article, we address the pose estimation for planar motion under the framework of generalized camera models. We assume the knowledge of the coordinates of 3D straight lines in the world coordinate system. Pose is estimated using the images of the 3D lines. This approach does not require the determination of correspondences between pixels and 3D world points. Instead, and for each pixel, it...
In this paper are presented simple and practical solutions to extrinsic calibration between a camera and a 2D laser sensor, without overlap. Previous methods utilized a plane or an intersecting line of two planes as a geometric constraint with enough common field-of-view. These required additional sensors to calibrate non-overlapping systems. In this paper, we present two methods for solving the problem...
The Point-and-Shoot Face Recognition Challenge (PaSC) is a performance evaluation challenge including 1401 videos of 265 people acquired with handheld cameras and depicting people engaged in activities with non-frontal head pose. This report summarizes the results from a competition using this challenge problem. In the Video-to-video Experiment a person in a query video is recognized by comparing...
Aiming at the passive ranging to the non-cooperate target, the passive ranging algorithm based on the image sequence is proposed. The analysis on the image matching algorithms were performed, including SIFT, SURF, and ASURF. In which, the SURF algorithm is better method in our system becouse of the real time and precision. It can find plenty of special regions from the target images grabbed at real...
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