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Biometric-based authentication for smart handheld devices promises to provide a reliable and alternate security mechanism compared to traditional methods such as pins, patterns, and passwords. Although fingerprints are a viable source for authentication, they generally require installation of an additional hardware such as optical and swipe sensors on mobile devices, and are only available in expensive,...
Face identification from low quality and low resolution Near-Infrared (NIR) face images is a challenging problem. Since surveillance cameras typically acquire images at a large standoff distance, the effective resolution of the face is not large enough to identify the individuals. Moreover for a 24-hour surveillance footage, images in low light and at nighttime are acquired in NIR mode which makes...
In virtual 3d websites, the traditional 3D real-time rendering virtual roaming is difficult to achieve a realistic rendering effect. While ordinary panoramic roaming has the problem of visual disconnection on switching scene. To solve these problems, this paper proposes a WebGL-based virtual roaming method which can seamlessly connect video to panoramic view. Firstly, we convert the video initial...
Traditional 35mm film cameras are no longer the main devices today's consumers use to capture images. Though the dominant technology has shifted to digital cameras and displays that differ widely in pixel count and resolution, our understanding of the quality impact of these variables lags. This paper explores the quality impact of resolution within this new paradigm. Images were collected from 23...
The stability of feature matching is a fundamental problem for many robotic tasks, such as visual servoing and navigation. This paper presents a new feature extractor which is able to improve the robustness of feature matching under large scale change. The new extractor consists of a fast and scalable Laplacian of Gaussian (LoG) approximator based on blocky Mexican hat wavelet, and an optimized sampling...
Presentation (or spoof) attacks on biometric system is a growing concern that received substantial attention from both academics and industry. In this paper, we present a novel way of addressing a Presentation Attack Detection (PAD) (or spoof detection) by exploiting the inherent characteristics of the Light Field Camera (LFC) for visible spectrum iris biometric system. The proposed PAD algorithm...
Liveness detection (often referred to as presentation attack detection) is the ability to detect artificial objects presented to a biometric device with an intention to subvert the recognition system. This paper presents the database of iris printout images with a controlled quality, and its fundamental application, namely development of liveness detection method for iris recognition. The database...
This article describes a new dataset under construction at the Media Integration and Communication Center and the University of Florence. The dataset consists of high-resolution 3D scans of human faces from each subject, along with several video sequences of varying resolution and zoom level. Each subject is recorded in a controlled setting in HD video, then in a less-constrained (but still indoor)...
Given a part of a document image taken with any camera at an arbitrary orientation and sometimes far-from-perfect illumination, an important problem is to match this query image to the corresponding full image from a document database. We propose a novel multi-resolution robust methodology for the same. The method combines information from independent sources of measurement in a probabilistic framework...
With the increasing computational power of mobile devices and the increase in the usage of ordinary location-based services, the area of indoor location-based services is of growing interest. Nowadays indoor location-based services are used mainly for personalized information retrieval of maps and points of interest. Advanced location-based functionality often suffers from imprecise positioning methods...
Although 3D TVs have already been introduced to the consumer market, the availability of stereoscopic (3D) content remains a serious challenge. Another challenge is that while some manufacturers are introducing 3D cameras and Hollywood is using proprietary solutions, there are no guidelines for consistently capturing high quality stereoscopic content. In this paper, we present a comprehensive stereoscopic...
We propose an efficient distributed object recognition system for sensing, compression, and recognition of 3-D objects and landmarks using a network of wireless smart cameras. The foundation is based on a recent work that shows the representation of scale-invariant image features exhibit certain degree of sparsity: If a common object is observed by multiple cameras from different vantage points, the...
The introduction of low power general purpose processors (like the Intelreg Atomtrade processor) expands the capability of handheld and mobile Internet devices (MIDs) to include compelling visual computing applications. One rapidly emerging visual computing usage model is known as mobile augmented reality (MAR). In the MAR usage model, the user is able to point the handheld camera to an object (like...
This work aims at investigating the influence of luminance information and environment illumination on skin classification. We explore Bayesian approaches to perform automatic classification of human skin pixels on digital images, using color features as input. Two probabilistic skin color models were built on different color spaces (RGB, normalized RG, HSI, HS, YCbCr and CbCr) and tested in a task...
We describe an architecture for a multi-camera, multi-resolution surveillance system. The aim is to support a set of distributed static and pan-tilt-zoom (PTZ) cameras and visual tracking algorithms, together with a central supervisor unit. Each camera (and possibly pan-tilt device) has a dedicated process and processor. Asynchronous interprocess communications and archiving of data are achieved in...
We describe a project to trial and develop enhanced surveillance technologies for public safety. A key technology is robust recognition of faces from low-resolution CCTV footage where there may be as few as 12 pixels between the eyes. Current commercial face recognition systems require 60-90 pixels between the eyes as well as tightly controlled image capture conditions. Our group has thus concentrated...
The tasks of autonomous rescue robots operating in unknown environments are manifold. Self localization, map generation and the detection of possible victims are indespensable. Apart from these, other factors can become crucial for the survival of the involved persons and for the safe operation of the robot itself. A first step in autonomously detecting such dangers is the real-time recognition of...
A close relationship exists between the advancement of face recognition algorithms and the availability of face databases varying factors that affect facial appearance in a controlled manner. The CMU PIE database has been very influential in advancing research in face recognition across pose and illumination. Despite its success the PIE database has several shortcomings: a limited number of subjects,...
In this paper, we propose a novel user interface framework for controlling appliances in smart spaces based on the natural look of UI on physical appliances. When a user selects a specific target appliance to control, the proposed architecture and procedures provide NVUI (NaturalView User Interface) on a userpsilas mobile device to maximize userpsilas a priori familiarity with the user interface....
The objective of this research is to develop an automatic and efficient news video indexing and management system based on the characteristics of the structure of a complete TV news video in Taiwan. We first employed two features which include the Normalized Color Histogram Intersection of Quantized Hue and Edge Exchanging Ratio to detect the shot boundaries and to segment the corresponding shots...
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