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Given a single photo of a room and a large database of furniture CAD models, our goal is to reconstruct a scene that is as similar as possible to the scene depicted in the photograph, and composed of objects drawn from the database. We present a completely automatic system to address this IM2CAD problem that produces high quality results on challenging imagery from interior home design and remodeling...
Simulation-based acquisition (SBA) is a robust, collaborative use of modeling and simulation (M&S) technologies that are integrated across acquisition phases and programs. Our research goal is to quantitatively show the benefits from M&S in SBA. To that end, we should consider costs arisen from the use of M&S in SBA, e.g., development costs related with M&S. This paper presents a simulation...
Diagnosis and monitoring of Parkinson's disease has a number of challenges as there is no definitive biomarker despite the broad range of symptoms. Research is ongoing to produce objective measures that can either diagnose Parkinson's or act as an objective decision support tool. Recent research on speech based measures have demonstrated promising results. This study aims to investigate the characteristics...
Obstructive sleep apnea (OSA) is a common sleep-related breathing disorder. Previous studies associated OSA with anatomical abnormalities of the upper respiratory tract that may be reflected in the acoustic characteristics of speech. We tested the hypothesis that the speech signal carries essential information that can assist in early assessment of OSA severity by estimating apnea-hypopnea index (AHI)...
In order to handle pose variation problem in face recognition, Generic Elastic Models (GEMs) was proposed as a low computational and efficient 3D face modeling method, which generates 3D face model from single frontal face image by elastically deforming a generic 3D depth map based on 2D observations of the input face image. In this paper, we extend GEMs to Multi-Depth GEMs (MD-GEMs) by utilizing...
The perception-based approach of feature extraction methods for CBIR has been summarized. It has proposed an experimental analysis of mathematical modeling of textural contents for images, having a perceptual meaning and application such as coarseness, directionality, contrast, and busyness. An objective is to find an effective method to estimate perceptual features. So a cumulative use of computational...
Vehicle localization is the primary information needed for advanced tasks like navigation. This information is usually provided by the use of Global Positioning System (GPS) receivers. However, the low accuracy of GPS in urban environments makes it unreliable for further treatments. The combination of GPS data and additional sensors can improve the localization precision. In this article, a marking...
Record linkage is the task of identifying which records from one or more data sources refer to the same person. Often, records do not have a common key and may contain typographical variations in identifier fields, in such a case, the Fellegi-Sunter probabilistic record linkage is a method commonly used. In this method, a weight is assigned for each pair of records. Record pairs with weights above...
The center-surround comparison principle is widely used in existing bottom-up saliency estimation models. However, most of them are based on local image processing techniques which are hard to handle texture regions well as a relatively large neighborhood is required to represent textures. In this paper, we propose a nonlocal patch-based reconstruction approach to reformulate the center-surround comparison...
Using state of the art design methods, advanced calculation of system power budgets is a major challenge. Currently, system design methods do not offer sufficient means for supporting energy awareness and efficiency throughout the complete system design process. In this paper, we present a power database for storing and predicting power data of integrated systems across abstraction levels, starting...
Fast and accurate estimation of the transformation imposed by the illuminant to the colors of an image taken under that illuminant is of crucial importance in real-time computational color constancy applications. To this end, we present an edge based and an efficient chromaticity spatio-spectral model which are modified versions of the spatio-spectral method introduced by Chakrabarti et al [1]. As...
Simulation-based approaches to evaluate the functional and non-functional properties of embedded software are in widespread industrial use for design space exploration and virtual prototyping. As simulation performance is usually the main concern for these tools, they often lack an accurate timing model of the underlying processor. On the other hand, tools aimed at the worst-case execution time (WCET)...
This paper describes an extension of the sequential scene analysis system presented by Hager and Wegbreit [12]. In contrast to the original system, which was limited to scenes consisting of geometric primitives, such as spheres, cuboids, and cylinders computed from range data, the extended system is capable of dealing with arbitrarily shaped objects computed from range and intensity images. An object...
Bottom-up visual saliency can be computed through information theoretic models but existing methods face significant computational challenges. Whilst nonparametric methods suffer from the curse of dimensionality problem and are computationally expensive, parametric approaches have the difficulty of determining the shape parameters of the distribution models. This paper makes two contributions to information...
In this contribution a novel method to compute dense point-to-point correspondences between 3D faces is presented. The faces are aligned in 3D space with a Generalized Procrustes Analysis and subsequently mapped into 2D space. To compute a correspondence flow between two faces an energy function is minimized which is based on the following assumptions: smoothness of the flow, mapping of landmarks...
This paper presents and evaluates an inverse filtering technique of the speech signal which is based on the Stabilized Weighted Linear Prediction (SWLP) of speech [1]. SWLP emphasizes the speech samples that fit the underlying speech production model well, by imposing temporal weighting of the square of the residual signal. The performance of SWLP is compared to the conventional Linear Prediction...
Online social networking systems are rapidly becoming popular for users to share, organize and locate interesting content. However, these systems have increasingly been employed as platforms to spread spam and irrelevant content, abusing valuable human attention and service resource. In this paper, we propose a social reputation model to guide users to browse desirable content. First, we compute the...
We present an algorithm for 3d pose estimation of articulated people in natural images. The poses are disassembled into a collection of local patches and a new pose is inferred by assembling the local patches. This concept allows inference of a wide variety of poses from a small number of training patches. The actual process is realized efficiently by a novel voting scheme where each local patch extracted...
In this paper, we present an algorithm for estimating the eye movement looking at a picture. Our solution is based on human data measured by a wearable eye tracker device which is able to record the user's eye movement during the record. From the same video streams, measuring the artificial salient points on the image by machine vision algorithms, the clusters of these points are assigned according...
Computerised facial aging estimation, which has the potential for many applications in human-computer interactions, has been investigated by many computer vision researchers in recent years. In this paper, a feature-based discriminant subspace is proposed to extract more discriminating and robust representations for aging estimation. After aligning all the faces by a piece-wise affine transform, orthogonal...
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