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This paper presents an indoor locating system on wearable glasses for people with visual impairment. The proposed system is implemented by visual marker recognition. Because people with visual impairment have difficulty searching markers, this paper proposed a custom color marker which is detectable in 15 m maximum when its size is 400 cm2. The marker recognition can be processed in real-time on a...
Due to advancement in minimization and mass-production, cameras are ubiquitously embedded in most of current mobile devices including phones, vehicles, robots, and augmentedreality displays. These mobile cameras are cheap and can gather in real-time large amounts of streaming data about the surrounding environment. Using an information-theoretic model of a streaming video captured by a mobile camera,...
The rapid development of intelligent transport systems (ITS) brings us a safer and more convenient life. In this field, automatic license plate recognition (ALPR) plays an important role in many applications which have been deployed in reality such as stolen car detection, parking system management, and automatic transport charging system. The traditional ALPR methods usually need a high resolution...
In the field of character recognition, OCR is a success as many software have been commercialized, thanks to the exhaustive efforts of scientists. Nevertheless, there are existing cases in which these sophisticated systems fail, which has not been excavated that demands further investigation. This paper presents an attempt to build an effective algorithm in response to a cutting-edge topic in OCR,...
The paper presents a thorough evaluation of two representative visual place recognition algorithms that can be applied to the problem of indoor localization of a person equipped with a modern smartphone. The evaluation focuses on comparing two different state-of-the-art approaches: single image-based place recognition, represented by the FAB-MAP algorithm, and recognition based on a sequence of images,...
In this paper, we propose a novel groupware that uses Augmented Reality (AR) technology to facilitate the task of collaboratively editing 3D surfaces on mobile devices. In digital animations and video games, 3D surfaces are widely employed to model geometric assets, e.g., mountains on a landscape. However, even if a single surface commonly needs to be created and modified by a group of collaborators,...
Augmented Reality (AR) is aimed at integrating virtual information into real world to enhance the perception ability of reality. The paper mainly presents an AR system that can complete some interactions between the user and the smartphone based on touch screen and body motion. There are three contents in this system. The first part is the building of AR scenes in Unity3D on the basis of real-time...
Augmented Reality (AR) is currently gaining popularity in multiple professional use cases. However, applying AR for outdoor environments is still very difficult, especially when targeting customer-grade mobile devices. This paper presents extensions to a previous panoramic tracking algorithm, which is a visual tracking method for unprepared outdoor use cases. The panorama tracker is extended by Unity3D...
There is a growing number of incidents related to using cell phones while walking on the street. To address this issue, this paper proposes a new system based on tactile paving detection on the sidewalk to alert distracted mobile users to avoid traffic hazard. Our system (namely Inspector) is deployed as an application on an off-the-shelf normal mobile phone equipped with back camera. Inspector plays...
Dipstick-based urinalysis is routinely used for detection of early signs of such pregnancy complications, as preeclampsia and gestational diabetes. Usually it is done in doctor's office using an automatic dipstick analyzer. Here we present a novel smartphone-based colorimeter and demonstrate its application to the measurements of glucose and protein concentrations in biological samples. The key innovations...
As the rapid development of the Internet of Things (IoT), communication between object, device and machine becomes a popular topic. The application of barcode has become an irreplaceable technique in the field, which provides a new way to embed various information such as hyperlink and text. In this paper, we present a novel voice-based 2D barcode system, which directly embeds voice into a barcode...
In this paper we demonstrate how to extend an indoor personal navigation system based upon fusing pedestrian dead reckoning data and WiFi fingerprints by using simple, unobtrusive visual landmarks perceived by the user's smartphone camera. The proposed navigation system employs a factor graph to represent the localization constraints stemming from measurements obtained using the sensors available...
At the present there are some systems offering pedestrian navigation, but not as many are designated for people with visual impairments. The aim of this study is to present a navigation aid which makes use of a stereoscopy video system, OpenCV library, and general purpose mobile devices. The system is based on algorithms for machine image recognition using a stereoscopy camera rig. It reconstructs...
In the process of mobile reading dot information based on halftone microstructure, in order to extract the feature information efficiently, we need to obtain a halftone image which microstructure is clearly distinguished. In this paper, mobile phone Macro imaging technology and algorithms are mainly studied. We present a method based on least square method for determining the image’s clarity, as well...
In this paper, we tackle the challenge of developing a stereovision-based driving assistance system for collision avoidance on a mobile device. This novel system is aimed to work in an urban environment, where a driver experiences lots of stop and go situations. In cities, rear-end accidents are the most common type of accidents, since a momentary lapse of concentration can lead to unsafe headway...
We show the first camera based (privacy-preserving) indoor mobile positioning system, CaPSuLe, which does not involve any communication (or data transfer) with any other device or the cloud. The algorithm only needs 78.9MB of memory and can localize a mobile device with 92.11% accuracy. Furthermore this is done in 1.92 seconds of on-device computation consuming 3.77 Joules of energy, as evaluated...
In this paper, we propose an algorithm for tracking mobile devices (such as smartphones, tablets, or smartglasses) in a known environment for augmented reality applications. For this purpose, we interpret the environment as an extended object with a known shape, and design likelihoods for different types of image features, using association models from extended object tracking. Based on these likelihoods,...
In this demo, we present RKSLAM, a robust keyframe-based monocular SLAM system that can reliably handle fast motion with strong rotation and ensure good AR experiences. We contribute two key technical contributions: a novel multi-homography based feature tracking method which is very robust and efficient, and a sliding-window based camera pose optimization scheme which imposes the motion prior constraints...
Subjective test methodologies are morphing to enable researchers to answer questions relevant to rapidly evolving technologies in an efficient and reliable manner. This paper is an exploration of how subjective testing that employs crowdsourcing can be refined to drive stability and reliability in subjective results. We investigate how various design decisions can lead to disparate subjective responses;...
Selecting local features is crucial in generating robust compact descriptors for mobile visual search. The state-of-the-art MPEG Compact Descriptors for Visual Search (CDVS) standard has utilized the intrinsic characteristics (e.g., scale, orientation, peak, center distance, etc.) of interest points to select salient local features for selective aggregation and compression of local feature descriptors...
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