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The paper focuses on 3D structure and motion factorization from uncalibrated image sequences. A rank-4 affine factorization algorithm and a robust structure and motion factorization scheme are proposed to handle outlying and missing data. The novelty and main contribution of the paper are as follows: (i) The rank-4 factorization algorithm is a new addition to previous affine factorization family using...
To recognize faces in video, face appearances have been widely modeled as piece-wise local linear models which linearly approximate the smooth yet non-linear low dimensional face appearance manifolds. The choice of representations of the local models is crucial. Most of the existing methods learn each local model individually meaning that they only anticipate variations within each class. In this...
We present a novel approach to automatically create efficient and accurate object detectors tailored to work well on specific video surveillance cameras (specific-domain detectors), using samples acquired with the help of a more expensive, general-domain detector (trained using images from multiple cameras). Our method requires no manual labels from the target domain. We automatically collect training...
In this paper, we present an algorithm that is to estimate the position of a hand-held camera with respect to terrestrial LiDAR data. Our input is a set of 3D range scans with intensities and one or a set of 2D uncalibrated camera images of the scene. The algorithm that automatically registers range scans and 2D images is composed of following steps. In the first step, we project the terrestrial LiDAR...
Recovering the epipolar geometry of a stereo image pair is important for many computer and robotic vision systems, for performing motion recovering, 3D reconstruction and, more recently, image retrieval from large databases. Most state-of-the-art methods for estimating the fundamental matrix rely solely in putative image correspondences, and, therefore, heavily depend on the capability of the low-level...
Research into computer vision techniques has far outpaced the development of interfaces (such as APIs) to support the techniques' accessibility, especially to developers who are not experts in the field. We present a new description-based interface designed to be mainstream-developer-friendly while retaining sufficient power and flexibility to solve a wide variety of computer vision problems. The...
Reliably measuring the similarity of two shapes or images (instances) is an important problem for various computer vision applications such as classification, recognition, and retrieval. While pairwise measures take advantage of the geometric differences between two instances to quantify their similarity, recent advances use relationships among the population of instances when quantifying pairwise...
We address the problem of appearance-based person re-identification, which has been drawing an increasing amount of attention in computer vision. It is a very challenging task since the visual appearance of a person can change dramatically due to different backgrounds, camera characteristics, lighting conditions, view-points, and human poses. Among the recent studies on person re-id, color information...
The Anti-Nuclear Antibody (ANA) clinical pathology test is commonly used to identify the existence of various diseases. A hallmark method for identifying the presence of ANAs is the Indirect Immunofluorescence method on Human Epithelial (HEp-2) cells, due to its high sensitivity and the large range of antigens that can be detected. However, the method suffers from numerous shortcomings, such as being...
Inventories of traffic signs are acquired from street-level images in a semi-automated fashion, employing object detection and classification techniques. This is a challenging task, as signs are captured from different viewpoints and under various weather conditions. Furthermore, many similar signs exist, only differing in minor details, and moreover, sign-like objects occur frequently. Consequently,...
Wearable devices with gaze tracking can assist users in many daily-life tasks. When used for extended periods of time, it is desirable that such devices do not employ active illumination for safety reasons and to minimize interference from other light sources such as the sun. Most non active-illumination methods for gaze tracking attempt to locate the iris contour by fitting an ellipse. Although the...
We present a low cost markerless system for the optimization of athlete performance in sports such as pole vault, jumping and javelin throw. The system uses a number of calibrated cameras to capture a video of an athlete from different viewpoints. The athlete's body is then segmented from the background in each video frame. The silhouettes of the segmented body are then reprojected to reconstruct...
We consider the problem of estimating the current satellite cloud map from a collection of broadly distributed, ground-based webcams. The approach uses historical, geo-referenced satellite imagery to learn a mapping between the satellite image and the ground imagery. We explore representational choices for inferring the cloud status based on the ground-level imagery and consider several alternatives...
Recognizing 3D objects in the presence of clutter and occlusion is a challenging task. This paper presents a 3D free form object recognition system based on a novel local surface feature descriptor. For a randomly selected feature point, a local reference frame (LRF) is defined by calculating the eigenvectors of the covariance matrix of a local surface, and a feature descriptor called rotational projection...
In this paper we propose the use of nonuniformly resized image patch exemplars for solving low level vision problems like denoising and super-resolution. While patch-based methods have been shown to be successful for several such applications, these methods have so far assumed uniform sizes for image patches. In this paper we address this restriction. We use an integral image representation for efficient...
It is advantageous but difficult to automatically and accurately estimate parameters of lens models from single images, particularly in internet image processing and thermal image processing. As not all objects have straight edges, it is natural that some edges should be straight and some should be curved in undistorted images. Therefore, the key problem is how to find curved lines in original images...
We present a novel method for matching ground-based query images to a georeferenced LIDAR 3D dataset acquired from an airborne platform in urban environments. We are addressing two main technical challenges: (i) different modalities between the query and the reference data (electro-optical vs. LIDAR) that impose unique challenges to the matching problem; (ii) very different viewing directions from...
Real-world scenes involve many objects that interact with each other in complex semantic patterns. For example, a bar scene can be naturally described as having a variable number of chairs of similar size, close to each other and aligned horizontally. This high-level interpretation of a scene relies on semantically meaningful entities and is most generally described using relational representations...
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