1,720,979 research outputs found
Interactive In-Situ Scene Capture on Mobile Devices
Get PDFThesis (Ph.D.)--University of Washington, 2017-12Architectural visualizations of indoor scenes enable compelling applications in several areas, such as real estate, interior design, cultural heritage preservation, and more recently, immersive virtual reality. Computer-Aided Design (CAD) tools have been invaluable for creating such visualizations. However, creating detailed, attractive visualizations of scenes remains a challenging task, particularly for non-experts. User interfaces for CAD tools tend to be complex and require significant manual effort to operate. These tools are also designed to be used ex-situ, or off-site, making it difficult to record and reproduce details faithfully. In this thesis, I propose novel techniques and systems for interactive in-situ scene capture on mobile devices that let non-expert users quickly and easily capture useful architectural visualizations of indoor scenes. These systems are built upon two key insights; 1) sensors on mobile devices can be leveraged to capture important aspects of the scene such as dimensions, room shape, furniture placement, etc., and 2) an in-situ user can assist in the modeling task by acting as a guide for reconstruction and object recognition algorithms. Based on these insights, the semi-automatic systems that I propose combine the strengths of the user, who is good at high-level semantic reasoning, and the computer, which excels at combinatorics and numerical optimization. I present three systems in this thesis. First, I present a smartphone application designed to visually capture homes, offices and other indoor scenes. The application leverages data from smartphone sensors such as the camera, accelerometer, gyroscope and magnetometer to help reconstruct the indoor scene. The output of the system is two-fold; first, an interactive visual tour of the scene is generated in real time that allows the user to explore each room and transition between connected rooms. Second, by marking distinct room features such as corners and doors, the system generates a 2D floor plan and accompanying 3D model of the scene, under a Manhattan-world assumption. This approach does not require any specialized equipment or training, and is able to produce accurate floor plans. I then describe an interactive system to capture CAD-like 3D models of indoor scenes, on a tablet device. The modeling proceeds in two stages: (1) The user captures the 3D shape and dimensions of the room. (2) The user then uses voice commands and an augmented reality sketching interface to insert objects of interest, such as furniture, artwork, doors and windows. The system recognizes the sketches and add a corresponding 3D model into the scene at the appropriate location. The key contributions of this work are the design of a multi-modal user interface to effectively capture the user's semantic understanding of the scene, a framework for sketch based model retrieval, and the underlying algorithms that process the input to produce useful reconstructions. Finally, I extend the in-situ modeling approach to 3D-aware mobile devices, an emerging class of devices that can more richly sense the 3D nature of our world using depth sensing and self-localization. I propose a novel interactive system to further simplify the process of indoor 3D CAD room modeling on such devices. The proposed system leverages the sensing capabilities of a 3D aware mobile device, recent advances in object recognition, and a novel augmented reality user interface, to author indoor 3D room models in-situ. With a few taps, a user can mark the surface of an object, take a photo, and the system automatically retrieves and places a matching 3D model into the scene, from a large online database -- a modality that proves to be faster, more accurate, and easier than using traditional desktop tools
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Reconstruction and Visualization of Architectural Scenes
Get PDFThesis (Ph.D.)--University of Washington, 2014Can we experience a scene virtually, such as the Colosseum in Rome, without ever having to visit it? Such an experience should replicate the feeling of being physically present, in terms of being able to visualize the scene from different viewpoints as well as quickly assimilating the highlights of the scene. An Internet search can increasingly provide us with a complete photographic record for the scene, but the challenge is in displaying such imagery in a coherent and informative way. In my thesis, I propose an approach for this problem based on 3D reconstruction and path planning. To make this approach feasible, we need to overcome three primary challenges. The first is in scaling the reconstruction algorithms to process millions of 3D points and thousands of images in an efficient manner. We design effective preconditioners to solve the non linear Bundle Adjustment problem efficiently, to obtain significant reductions in execution time. The second challenge involves improving the quality of the 3D reconstructions. Despite decades of research, state-of-the-art stereo algorithms cannot produce quality reconstructions everywhere, due to their dependence on the presence of texture. We complement stereo with monocular cues to overcome this challenge to compute more accurate and complete reconstructions. Finally having computed the reconstructions, a third challenge is in creating compelling visual experiences to aid a user in effectively navigating through the scene. We automatically compute movies, or photo tours, as paths through the reconstruction that are coherent, informative and efficient, for famous sites all over the world
Learning Scene CAD Recomposition
No full textThesis (Ph.D.)--University of Washington, 2020Humans perceive the world in three dimensions and can interpret the hidden part of objects and scenes despite partial observations and occlusions. This level of understanding comes from imagining the hidden surfaces based on the knowledge of object shapes, scene arrangement, and high-level inference based on common scene patterns. Understanding the 3D scene with the object-level composition of its components is essential for meaningful interaction with surrounding objects in the real world physical environments. In this thesis, first, we consider the problem of scene understanding where we show that if we can decompose a scene into its prominent objects, then we can start analyzing the scene. This enables us to infer high-level information about the scene structure, such as scene recognition and scene completion. Second, we introduce a novel perspective of recomposing the CAD model of the scene. We propose transforming raw visual sensory observations in order to re-create the scene with corresponding 3D object-level components. Towards this goal, we take advantage of large databases of object CAD models and leverage learning methods to solve this problem for real-world scenes at scale. Our scene CAD recomposition re-creates the scene by matching, placing, and aligning the objects from a database of thousands of CAD models. We also propose learning-based methods to automatically recompose the scene from a single-view RGB image as well as a sequence of RGB-D images for whole scene recomposition. Finally, we incorporate scene recomposition to solve a robotic object interaction problem. By means of technical analysis and experimental studies on real-world scenes, we validate that our novel object-level scene recomposition perspective provides a useful and yet concise representation that can facilitate accomplishing downstream tasks such as object manipulation in robotics. This thesis takes first steps towards developing a fully automatic system for recomposing scenes, and we hope our work inspires future research both on 3D learning and recomposition applications
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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