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We propose a mobile food recognition system the poses of which are estimating calorie and nutritious of foods and recording a user's eating habits. Since all the processes on image recognition performed on a smart-phone, the system does not need to send images to a server and runs on an ordinary smartphone in a real-time way. To recognize food items, a user draws bounding boxes by touching the screen...
With the rapid proliferation of smartphones and tablet computers, search has moved beyond text to other modalities like images and voice. For many applications like Fashion, visual search offers a compelling interface that can capture stylistic visual elements beyond color and pattern that cannot be as easily described using text. However, extracting and matching such attributes remains an extremely...
We present our current work on a camera tracking algorithm designed for a mobile device equipped with a stereo camera. The tracker runs in real-time on a prototype mobile platform and it can be used as the core engine of augmented reality applications. In order to cope with the limited resources available, we design an algorithm that relies on the stereo camera only for the 3D reconstruction of points,...
In this paper, we address the problem of auto calibration of cameras which can rotate freely and change focal length, and we present an algorithm for finding the intrinsic parameters using only two images. We utilize orientation sensors found on many modern smart phones to help decompose the infinite homography into two equivalent upper triangular matrices based only on the intrinsic parameters. We...
Detecting moving objects on mobile cameras in real-time is a challenging problem due to the computational limits and the motions of the camera. In this paper, we propose a method for moving object detection on non-stationary cameras running within 5.8 milliseconds (ms) on a PC, and real-time on mobile devices. To achieve real time capability with satisfying performance, the proposed method models...
This paper presents a mobile application for capturing images of printed multi-page documents with a smartphone camera. With today's available document capture applications, the user has to carefully capture individual photographs of each page and assemble them into a document, leading to a cumbersome and time consuming user experience. We propose a novel approach of using video to capture multipage...
A real-time collision detection system using a body-mounted camera is developed for visually impaired and blind people. The system computes sparse optical flow in the acquired videos, compensates for camera self-rotation using external gyro-sensor, and estimates collision risk in local image regions based on the motion estimates. Experimental results for a variety of scenarios involving static and...
We present the video demo of the prototype of an egocentric vision based assistive co-robot system. In this co-robot system, the user is wearing a pair of glasses with a forward looking camera, and is actively engaged in the control loop of the robot in navigational tasks. The egocentric vision glasses serve for two purposes. First, it serves as a source of visual input to request the robot to find...
Exergames combine exercising with game play by requiring the users to perform some kind of physical activity (and exercise) in order to score points in the game. In this paper, we present a novel mobile exergaming framework, which requires the users to physically move and jump in order to score points in a game that is played on a smartphone. Our system uses a custom designed Exercising Pad (called...
Several papers addressed ellipse detection as a first step for several computer vision applications, but most of the proposed solutions are too slow to be applied in real time on large images or with limited hardware resources, as in the case of mobile devices. This demo is based on a novel algorithm for fast and accurate ellipse detection. The proposed algorithm relies on a careful selection of arcs...
The camera function in smart phones has a great potential to help visually impaired people with discerning scene details. Many apps have been developed to turn a smart phone into a handy video magnifier using digital zoom. As digital zoom normally cannot provide sufficient magnification for distant objects, optical telescopic devices attached to the smart phone cameras can be used to increase magnification...
In this work, we have proposed an Augmented Linear Discriminant Analysis (ALDA) approach to identify identical twins. It learns a common subspace that not only can identify from which family the individual comes, but also can distinguish between individuals within the same family. We evaluate the ALDA against the traditional LDA approach for subspace learning on the Notre Dame twin database. We have...
We present a continuous 3D face authentication system that uses a RGB-D camera to monitor the accessing user and ensure that only the allowed user uses a protected system. At the best of our knowledge, this is the first system that uses 3D face images to accomplish such objective. By using depth images, we reduce the amount of user cooperation that is required by the previous continuous authentication...
Face recognition technique is widely used in the real-world applications over the past decade. Different from other biometric traits such as fingerprint and iris, face is the biological nature for humans to recognise a person even met just once. In this paper, we propose a novel method, which simulates the mechanism of fixations and saccades in human visual perception, to handle the face recognition...
This paper addresses two problems that have been largely overlooked in the literature. First, many systems seek to use, and algorithms claim to provide, rotational in-variance, such as fingerprint minutiae or SIFT/SURF features. We introduce a statistical test for rotational independence, using lossless rotations to show the differences are statistically significant and cannot be attributed to image...
We propose a new image-based metric and explore its utility as a quality diagnostic for fingerprint image preprocessing. Due to the low quality of the latent fingerprint images, preprocessing is a common step in the forensic analysis workflow, and furthermore is critical to the success of fingerprint identification. Whereas fingerprint analysis is a well-studied field with a deep history, forensic...
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