Download or read book 3 D Reconstruction of Urban Scenes from Sequences of Images written by Institut National de Recherche en Informatique et en Automatique and published by . This book was released on 1995 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Reconstruction and Analysis of 3D Scenes written by Martin Weinmann and published by Springer. This book was released on 2016-03-17 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique work presents a detailed review of the processing and analysis of 3D point clouds. A fully automated framework is introduced, incorporating each aspect of a typical end-to-end processing workflow, from raw 3D point cloud data to semantic objects in the scene. For each of these components, the book describes the theoretical background, and compares the performance of the proposed approaches to that of current state-of-the-art techniques. Topics and features: reviews techniques for the acquisition of 3D point cloud data and for point quality assessment; explains the fundamental concepts for extracting features from 2D imagery and 3D point cloud data; proposes an original approach to keypoint-based point cloud registration; discusses the enrichment of 3D point clouds by additional information acquired with a thermal camera, and describes a new method for thermal 3D mapping; presents a novel framework for 3D scene analysis.

Download or read book Feature Based 3D Reconstruction of Man Made Scenes from Image Sequences written by Xiaofeng Zhang and published by . This book was released on 2002 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book 3D Structure from Multiple Images of Large Scale Environments written by Reinhard Koch and published by Springer. This book was released on 2003-05-20 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the strictly refereed post-workshop proceedings of the European Workshop on 3D Structure from Multiple Images of Large-Scale Environments, SMILE'98, held in conjunction with ECCV'98 in Freiburg, Germany, in June 1998. The 21 revised full papers presented went through two cycles of reviewing and were carefully selected for inclusion in the book. The papers are organized in sections on multiview relations and correspondence search, 3D structure from multiple images, callibration and reconstruction using scene constraints, range integration and augmented reality application.

Download or read book Efficient 3D Scene Modeling and Mosaicing written by Tudor Nicosevici and published by Springer. This book was released on 2013-02-19 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes a complete pipeline for monocular (single camera) based 3D mapping of terrestrial and underwater environments. The aim is to provide a solution to large-scale scene modeling that is both accurate and efficient. To this end, we have developed a novel Structure from Motion algorithm that increases mapping accuracy by registering camera views directly with the maps. The camera registration uses a dual approach that adapts to the type of environment being mapped. In order to further increase the accuracy of the resulting maps, a new method is presented, allowing detection of images corresponding to the same scene region (crossovers). Crossovers then used in conjunction with global alignment methods in order to highly reduce estimation errors, especially when mapping large areas. Our method is based on Visual Bag of Words paradigm (BoW), offering a more efficient and simpler solution by eliminating the training stage, generally required by state of the art BoW algorithms. Also, towards developing methods for efficient mapping of large areas (especially with costs related to map storage, transmission and rendering in mind), an online 3D model simplification algorithm is proposed. This new algorithm presents the advantage of selecting only those vertices that are geometrically representative for the scene.

Download or read book 3D Reconstruction of Urban Scenes from Street Side and Airborne Imagery written by András Bódis-Szomorú and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Vision Modeling and Visualization 2002 written by Günther Greiner and published by IOS Press. This book was released on 2002 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book 3D Synthetic Environment Reconstruction written by Mahdi Abdelguerfi and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although synthetic environments were traditionally used in military settings for mission rehearsal and simulations, their use is rapidly spreading to a variety of applications in the commercial, research and industrial sectors, such as flight training for commercial aircraft, city planning, car safety research in real-time traffic simulations, and video games. 3D Synthetic Environment Reconstruction contains seven invited chapters from leading experts in the field, bringing together a coherent body of recent knowledge relating 3D geospatial data collection, design issues, and techniques used in synthetic environments design, implementation and interoperability. In particular, this book describes new techniques for the generation of Synthetic Environments with increased resolution and rich attribution, both essential for accurate modeling and simulation. This book also deals with interoperability of models and simulations, which is necessary for facilitating the reuse of modeling and simulation components. 3D Synthetic Environment Reconstruction is an excellent reference for researchers and practitioners in the field.

Download or read book Computer Vision ECCV 2014 written by David Fleet and published by Springer. This book was released on 2014-08-14 with total page 855 pages. Available in PDF, EPUB and Kindle. Book excerpt: The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.

Download or read book Rendering Techniques 98 written by George Drettakis and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Some of the best current research on realistic rendering is included in this volume. It emphasizes the current "hot topics” in this field: image based rendering, and efficient local and global-illumination calculations. In the first of these areas, there are several contributions on real-world model acquisition and display, on using image-based techniques for illumination and on efficient ways to parameterize and compress images or light fields, as well as on clever uses of texture and compositing hardware to achieve image warping and 3D surface textures. In global and local illumination, there are contributions on extending the techniques beyond diffuse reflections, to include specular and more general angle dependent reflection functions, on efficiently representing and approximating these reflection functions, on representing light sources and on approximating visibility and shadows. Finally, there are two contributions on how to use knowledge about human perception to concentrate the work of accurate rendering only where it will be noticed, and a survey of computer graphics techniques used in the production of a feature length computer-animated film with full 3D characters.

Download or read book 3D Reconstruction from Multiresolution Images written by Srikumar Ramalingam and published by . This book was released on 2004 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book 3D Scene Modeling and Understanding from Image Sequences written by Hao Tang and published by . This book was released on 2013 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new method for 3D modeling is proposed, which generates a content-based 3D mosaic (CB3M) representation for long video sequences of 3D, dynamic urban scenes captured by a camera on a mobile platform. In the first phase, a set of parallel-perspective (pushbroom) mosaics with varying viewing directions is generated to capture both the 3D and dynamic aspects of the scene under the camera coverage. In the second phase, a unified patch-based stereo matching algorithm is applied to extract parametric representations of the color, structure and motion of the dynamic and/or 3D objects in urban scenes, where a lot of planar surfaces exist. Multiple pairs of stereo mosaics are used for facilitating reliable stereo matching, occlusion handling, accurate 3D reconstruction and robust moving target detection. The outcome of this phase is a CB3M representation, which is a highly compressed visual representation for a dynamic 3D scene, and has object contents of both 3D and motion information. In the third phase, a multi-layer based scene understanding algorithm is proposed, resulting in a planar surface model for higher-level object representations. Experimental results are given for both simulated and several different real video sequences of large-scale 3D scenes to show the accuracy and effectiveness of the representation. We also show the patch-based stereo matching algorithm and the CB3M representation can be generalized to 3D modeling with perspective views using either a single camera or a stereovision head on a ground mobile platform or a pedestrian. Applications of the proposed method include airborne or ground video surveillance, 3D urban scene modeling, traffic survey, transportation planning and the visual aid for perception and navigation of blind people.

Download or read book 3D Imaging Analysis and Applications written by Yonghuai Liu and published by Springer Nature. This book was released on 2020-09-11 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook is designed for postgraduate studies in the field of 3D Computer Vision. It also provides a useful reference for industrial practitioners; for example, in the areas of 3D data capture, computer-aided geometric modelling and industrial quality assurance. This second edition is a significant upgrade of existing topics with novel findings. Additionally, it has new material covering consumer-grade RGB-D cameras, 3D morphable models, deep learning on 3D datasets, as well as new applications in the 3D digitization of cultural heritage and the 3D phenotyping of crops. Overall, the book covers three main areas: ● 3D imaging, including passive 3D imaging, active triangulation 3D imaging, active time-of-flight 3D imaging, consumer RGB-D cameras, and 3D data representation and visualisation; ● 3D shape analysis, including local descriptors, registration, matching, 3D morphable models, and deep learning on 3D datasets; and ● 3D applications, including 3D face recognition, cultural heritage and 3D phenotyping of plants. 3D computer vision is a rapidly advancing area in computer science. There are many real-world applications that demand high-performance 3D imaging and analysis and, as a result, many new techniques and commercial products have been developed. However, many challenges remain on how to analyse the captured data in a way that is sufficiently fast, robust and accurate for the application. Such challenges include metrology, semantic segmentation, classification and recognition. Thus, 3D imaging, analysis and their applications remain a highly-active research field that will continue to attract intensive attention from the research community with the ultimate goal of fully automating the 3D data capture, analysis and inference pipeline.

Download or read book Automatic Extraction of Man Made Objects from Aerial Space Images written by Armin Gruen and published by Springer Science & Business Media. This book was released on 1995-08-28 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents the latest theoretical and implementational research into the automatic recognition and identification of roads, buildings, and other artifacts from digital aerial or satellite imagery. Some of the topics are inferring homogeneous regions from rich image attributes, three-dimensional reconstructions of urban scenes from sequences of images, geometric versus texture detail, tracking roads in satellite images by playing twenty questions, and the combination of aerial images and maps for interpreting urban scenes. The 29 papers were presented at a workshop in Zurich (date not noted). No subject index. Annotation copyright by Book News, Inc., Portland, OR

Download or read book Image Based 3D Reconstruction of Dynamic Objects Using Instance Aware Multibody Structure from Motion written by Bullinger, Sebastian and published by KIT Scientific Publishing. This book was released on 2020-08-26 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This work proposes a Multibody Structure from Motion (MSfM) algorithm for moving object reconstruction that incorporates instance-aware semantic segmentation and multiple view geometry methods. The MSfM pipeline tracks two-dimensional object shapes on pixel level to determine object specific feature correspondences, in order to reconstruct 3D object shapes as well as 3D object motion trajectories" -- Publicaciones de Arquitectura y Arte.

Download or read book 3D Structure Estimation from Image Stream in Urban Environment written by Mohamad Motasem Nawaf and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In computer vision, the 3D structure estimation from 2D images remains a fundamental problem. One of the emergent applications is 3D urban modelling and mapping. Here, we are interested in street-level monocular 3D reconstruction from mobile vehicle. In this particular case, several challenges arise at different stages of the 3D reconstruction pipeline. Mainly, lacking textured areas in urban scenes produces low density reconstructed point cloud. Also, the continuous motion of the vehicle prevents having redundant views of the scene with short feature points lifetime. In this context, we adopt the piecewise planar 3D reconstruction where the planarity assumption overcomes the aforementioned challenges.In this thesis, we introduce several improvements to the 3D structure estimation pipeline. In particular, the planar piecewise scene representation and modelling. First, we propose a novel approach that aims at creating 3D geometry respecting superpixel segmentation, which is a gradient-based boundary probability estimation by fusing colour and flow information using weighted multi-layered model. A pixel-wise weighting is used in the fusion process which takes into account the uncertainty of the computed flow. This method produces non-constrained superpixels in terms of size and shape. For the applications that imply a constrained size superpixels, such as 3D reconstruction from an image sequence, we develop a flow based SLIC method to produce superpixels that are adapted to reconstructed points density for better planar structure fitting. This is achieved by the mean of new distance measure that takes into account an input density map, in addition to the flow and spatial information. To increase the density of the reconstructed point cloud used to performthe planar structure fitting, we propose a new approach that uses several matching methods and dense optical flow. A weighting scheme assigns a learned weight to each reconstructed point to control its impact to fitting the structure relative to the accuracy of the used matching method. Then, a weighted total least square model uses the reconstructed points and learned weights to fit a planar structure with the help of superpixel segmentation of the input image sequence. Moreover, themodel handles the occlusion boundaries between neighbouring scene patches to encourage connectivity and co-planarity to produce more realistic models. The final output is a complete dense visually appealing 3Dmodels. The validity of the proposed approaches has been substantiated by comprehensive experiments and comparisons with state-of-the-art methods.

Download or read book Dealing with the Two Difficult Scenes in Image based 3D Reconstruction written by Andi Dai and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Although image-based 3D reconstruction by photogrammetry has been well studied and applied, applying this technique in the scenarios that violate the classical shading assumptions can lead to poor performance. In this work we consider dealing with two kinds of difficult scenes that are currently problematic for 3D reconstruction: night scenes, and the glass reflection scenes. We mainly focus on the pre-processing or post-processing of the data in structure-from-motion (SFM) pipeline, and hence to improve the performance of the existing reconstruction algorithm in specific scenes.At night, low-light conditions often cause the images to lack sharpness, and high-dynamic range issues lead to saturation. The SFM reconstruction pipeline that works well in daylight is likely to recover only a limited quantity of dense points of bright fragmented objects near artificial lighting. Here, we verify that with ordinary camera images the default SFM procedures cannot generate the complete structure and the precise texture of the urban night scenery model. We develop a novel solution based on registration and synthesis between the night-time reconstruction and that of the same region in daytime. We implement a registration pipeline for conformal matching of the day and night point clouds. For the coarse registration step, we use detected plane features to search and match 4-plane congruent sets, and then refine the transformation matrix by minimizing the plane-plane errors and the point-plane errors. For the fine registration step, we consider the positions of windows, a commonly-occurring object cue in urban building scenes. The windows are segmented from each image using Mask R-CNN and the pixel-level masks are projected into the 3D space. Registration between the extracted windows and the night scenery is computed using iterative closest point method. This leads to final registration error less than 0.2 degrees in rotation, and 0.2% in translation and scale. Finally, we synthesize the daytime textured model and the night point clouds to produce vivid visual effects of the urban night scenery.For the scenes containing a partial mirror of glass which both transmits and reflects incident light, the mirror image can cause severe noise to the dense reconstruction process, because the blurred mirror image is detrimental to feature matching and densification, and compositing between the reflection and the transmission is essentially ambiguous for the ordinary SFM principle. As many previous researches have been focused on the image reflection removal algorithms, we propose to take advantage of a pre-processing step of the image sequence. The workflow starts from the output of the state-of-art deep learning model based on perceptual losses, and we feed the initial separation into a Markov Random Field (MRF) model to refine the results by maximizing the posteriori probability combining priors. The MRF is defined on a pair of the reflection and the transmission fields, and we construct a pairwise neighborhood system including both the spatial neighbors and the transmission-reflection neighbors. We perform inference on the MRF by belief propagation. An additional second refinement stage is applied on multiple images by registration between frame-to-frame to achieve further reflection components erasing. The workflow separates and removes the undesired reflection noise on stereo image sequences.Finally the output through the SFM pipeline shows effective elimination or suppression of the noise comparing to the baseline, where more than 90% of noise point clouds caused by the reflection are cleared. In general, our work provides a robust and feasible methodology in reconstructing the scene with glass mirror reflection"--