Volumetric Change Detection Using Uncalibrated 3d Reconstruction Models
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Volumetric Change Detection Using Uncalibrated 3d Reconstruction Models
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Author : Yakov Diskin
language : en
Publisher:
Release Date : 2015
Volumetric Change Detection Using Uncalibrated 3d Reconstruction Models written by Yakov Diskin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Detectors categories.
We present a 3D change detection technique designed to support various wide-area-surveillance (WAS) applications in changing environmental conditions. The novelty of the work lies in our approach of creating an illumination invariant system tasked with detecting changes in a scene. Previous efforts have focused on image enhancement techniques that manipulate the intensity values of the image to create a more controlled and unnatural illumination. Since most applications require detecting changes in a scene irrespective of the time of day, (lighting conditions or weather conditions present at the time of the frame capture), image enhancement algorithms fail to suppress the illumination differences enough for Background Model (BM) subtraction to be effective. A more effective change detection technique utilizes the 3D scene reconstruction capabilities of structure from motion to create a 3D background model of the environment. By rotating and computing the projectile of the 3D model, previous work has been shown to effectively eliminate the background by subtracting the newly captured dataset from the BM projectile leaving only the changes within the scene. Although previous techniques have proven to work in some cases, these techniques fail when the illumination significantly changes between the capture of the datasets. Our approach completely eliminates the illumination challenges from the change detection problem. The algorithm is based on our previous work in which we have shown a capability to reconstruct a surrounding environment in near real-time speeds. The algorithm, namely Dense Point-Cloud Representation (DPR), allows for a 3D reconstruction of a scene using only a single moving camera. Utilizing video frames captured at different points in time allows us to determine the relative depths in a scene. The reconstruction process resulting in a point-cloud is computed based on SURF feature matching and depth triangulation analysis. We utilized optical flow features and a single image super resolution technique to create an extremely dense model. The accuracy of DPR is independent of the environmental changes that may be present between the datasets, since DPR only operates on images within one dataset to create the 3D model for each dataset. Our change detection technique utilizes a unique scheme to register the two 3D models. The technique uses an opportunistic approach to compute the optimal feature extraction and matching scheme to compute a fundamental matrix needed to transform a 3D point-cloud model from one dataset to align with the 3D model produced by another. Next, in order to eliminate any effects of the illumination change we convert each point-cloud model into a 3D binary voxel grid. A `oneʹ is assigned to voxels containing points from the model while a `zeroʹ is assigned to voxels with no points. In our final step, we detect the changes between the two environments by geometrically subtracting the registered 3D binary voxel models. This process is computationally efficient due to logic-based operation available when handling binary models. We measure the success of our technique by evaluating the detection outputs, false alarm rate and computational expense when comparing with state-of-the-art change detection techniques.
Automatic Reconstruction Of Textured 3d Models
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Author : Pitzer, Benjamin
language : en
Publisher: KIT Scientific Publishing
Release Date : 2015-03-23
Automatic Reconstruction Of Textured 3d Models written by Pitzer, Benjamin and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-23 with Technology (General) categories.
Three dimensional modeling and visualization of environments is an increasingly important problem. This work addresses the problem of automatic 3D reconstruction and we present a system for unsupervised reconstruction of textured 3D models in the context of modeling indoor environments. We present solutions to all aspects of the modeling process and an integrated system for the automatic creation of large scale 3D models.
Relative 3d Reconstruction Using Multiple Uncalibrated Images
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Author : Roger Mohr
language : en
Publisher:
Release Date : 1992
Relative 3d Reconstruction Using Multiple Uncalibrated Images written by Roger Mohr and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with categories.
Advances In Visual Computing
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Author : Richard Boyle
language : en
Publisher: Springer
Release Date : 2006-11-02
Advances In Visual Computing written by Richard Boyle and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-02 with Computers categories.
The two volume set LNCS 4291 and LNCS 4292 constitutes the refereed proceedings of the Second International Symposium on Visual Computing, ISVC 2006, held in Lake Tahoe, NV, USA in November 2006. The 65 revised full papers and 56 poster papers presented together with 57 papers of ten special tracks were carefully reviewed and selected from more than 280 submissions. The papers cover the four main areas of visual computing.
Advances In Visual Computing
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Author : George Bebis
language : en
Publisher: Springer Science & Business Media
Release Date : 2006
Advances In Visual Computing written by George Bebis and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Artificial intelligence categories.
Designing A Low Cost Measurement System For Volume Estimation
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Author : Erik S. Nguyen (M. Eng.)
language : en
Publisher:
Release Date : 2018
Designing A Low Cost Measurement System For Volume Estimation written by Erik S. Nguyen (M. Eng.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
In this thesis, I designed and implemented large parts of a low-cost 3D reconstruction system targeted at volumetric reconstruction for lymphedema diagnosis purposes. The goal is to construct a system capable of determining changes in volume of an arm. This thesis involves construction of multi-camera rigs, but focuses on the development of data processing and surface reconstruction pipelines necessary to convert camera images into 3D surface models. We show that the system is capable of measuring volumes that, though error prone, are strongly correlated with true volume, and hence can detect volume changes on the order of 20 - 30%.
Recent Advances In Image Restoration With Applications To Real World Problems
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Author : Chiman Kwan
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-11-04
Recent Advances In Image Restoration With Applications To Real World Problems written by Chiman Kwan and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-04 with Computers categories.
In the past few decades, imaging hardware has improved tremendously in terms of resolution, making widespread usage of images in many diverse applications on Earth and planetary missions. However, practical issues associated with image acquisition are still affecting image quality. Some of these issues such as blurring, measurement noise, mosaicing artifacts, low spatial or spectral resolution, etc. can seriously affect the accuracy of the aforementioned applications. This book intends to provide the reader with a glimpse of the latest developments and recent advances in image restoration, which includes image super-resolution, image fusion to enhance spatial, spectral resolution, and temporal resolutions, and the generation of synthetic images using deep learning techniques. Some practical applications are also included.
3d Reconstruction From Multiple Images
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Author : Theo Moons
language : en
Publisher: Now Publishers Inc
Release Date : 2009-10-23
3d Reconstruction From Multiple Images written by Theo Moons and has been published by Now Publishers Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-23 with Computers categories.
The issue discusses methods to extract 3-dimensional (3D) models from plain images. In particular, the 3D information is obtained from images for which the camera parameters are unknown. The principles underlying such uncalibrated structure-from-motion methods are outlined. First, a short review of 3D acquisition technologies puts such methods in a wider context, and highlights their important advantages. Then, the actual theory behind this line of research is given. The authors have tried to keep the text maximally self-contained, therefore also avoiding to rely on an extensive knowledge of the projective concepts that usually appear in texts about self-calibration 3D methods. Rather, mathematical explanations that are more amenable to intuition are given. The explanation of the theory includes the stratification of reconstructions obtained from image pairs as well as metric reconstruction on the basis of more than 2 images combined with some additional knowledge about the cameras used. Readers who want to obtain more practical information about how to implement such uncalibrated structure-from-motion pipelines may be interested in two more Foundations and Trends issues written by the same authors. Together with this issue they can be read as a single tutorial on the subject.
Accurate Visual Metrology From Single And Multiple Uncalibrated Images
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Author : Antonio Criminisi
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-09-10
Accurate Visual Metrology From Single And Multiple Uncalibrated Images written by Antonio Criminisi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-10 with Computers categories.
Accurate Visual Metrology from Single and Multiple Uncalibrated Images presents novel techniques for constructing three-dimensional models from bi-dimensional images using virtual reality tools. Antonio Criminisi develops the mathematical theory of computing world measurements from single images, and builds up a hierarchy of novel, flexible techniques to make measurements and reconstruct three-dimensional scenes from uncalibrated images, paying particular attention to the accuracy of the reconstruction. This book includes examples of interesting viable applications (eg. Forensic Science, History of Art, Virtual Reality, Architectural and indoor measurements), presented in a simple way, accompanied by pictures, diagrams and plenty of worked examples to help the reader understand and implement the algorithms.
Representations And Techniques For 3d Object Recognition And Scene Interpretation
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Author : Derek Hoiem
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2011
Representations And Techniques For 3d Object Recognition And Scene Interpretation written by Derek Hoiem and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.
One of the grand challenges of artificial intelligence is to enable computers to interpret 3D scenes and objects from imagery. This book organizes and introduces major concepts in 3D scene and object representation and inference from still images, with a focus on recent efforts to fuse models of geometry and perspective with statistical machine learning. The book is organized into three sections: (1) Interpretation of Physical Space; (2) Recognition of 3D Objects; and (3) Integrated 3D Scene Interpretation. The first discusses representations of spatial layout and techniques to interpret physical scenes from images. The second section introduces representations for 3D object categories that account for the intrinsically 3D nature of objects and provide robustness to change in viewpoints. The third section discusses strategies to unite inference of scene geometry and object pose and identity into a coherent scene interpretation. Each section broadly surveys important ideas from cognitive science and artificial intelligence research, organizes and discusses key concepts and techniques from recent work in computer vision, and describes a few sample approaches in detail. Newcomers to computer vision will benefit from introductions to basic concepts, such as single-view geometry and image classification, while experts and novices alike may find inspiration from the book's organization and discussion of the most recent ideas in 3D scene understanding and 3D object recognition. Specific topics include: mathematics of perspective geometry; visual elements of the physical scene, structural 3D scene representations; techniques and features for image and region categorization; historical perspective, computational models, and datasets and machine learning techniques for 3D object recognition; inferences of geometrical attributes of objects, such as size and pose; and probabilistic and feature-passing approaches for contextual reasoning about 3D objects and scenes. Table of Contents: Background on 3D Scene Models / Single-view Geometry / Modeling the Physical Scene / Categorizing Images and Regions / Examples of 3D Scene Interpretation / Background on 3D Recognition / Modeling 3D Objects / Recognizing and Understanding 3D Objects / Examples of 2D 1/2 Layout Models / Reasoning about Objects and Scenes / Cascades of Classifiers / Conclusion and Future Directions