Compressed Representation of Color Information for Converting 2D Images Into 3D Models

The process of creating 3D accurate and faithful textured models from 2D images has been a major endeavor within the cultural heritage field. This field has general requirements, such as accuracy, portability and costs, that are often integrated by more specific needs such as the integration of color information. The aim of this paper is to show how photogrammetry can be a valid and reliable techniques for creating 3D models of museum artefacts even in case of objects with materials featuring difficult optical properties (absorptivity, reflectivity, scattering), challenging texture and complex shape/geometry. The main objective is to establish some core specifications for data acquisition and modeling, in order to guarantee the scientific quality of data and the interoperability of 3D models with the archaeologists and conservators. All these aspects are taken into consideration and presented with three study cases (two statues – one made of marble and one made of bronze – and a restored ceramic jug). The established, comprehensive and accessible pipeline for the creation of complex artefacts 3D models in the field of cultural heritage is presented and discussed.

Download Full-text

Automatic generation of bas-relief on 3D models based on 2D images for rhinoceros

Ingénierie des systèmes d information ◽

10.3166/isi.23.6.99-113 ◽

2018 ◽

Vol 23 (6) ◽

pp. 99-113

Author(s):

Sha LIU ◽

Feng YANG ◽

Shunxi WANG ◽

Yu CHEN

Keyword(s):

3D Models ◽

Automatic Generation ◽

2D Images

Download Full-text

Structure-from-Motion, Capturing Geological Samples v1

10.17504/protocols.io.bwmspc6e ◽

2021 ◽

Author(s):

Madalyn Massey

Keyword(s):

United States ◽

Structure From Motion ◽

3D Models ◽

Geological Survey ◽

United States Geological Survey ◽

Geological Samples ◽

Motion Capturing ◽

2D Images

Structure-from-Motion (SfM) is a photogrammetry process that creates 3D models from overlapping 2D images. This protocol focuses on its application related to geological and geophysical samples. The samples includes fossil, hand samples and rocks. This is a recommended practice to be used later for the publication on United States Geological Survey website.

Download Full-text

Telemetry-Based Depth Recovery for Virtual Factory Construction and Extension to Remote Facility Management

10.1115/imece1999-0161 ◽

1999 ◽

Author(s):

Dan Zetu ◽

Pat Banerjee ◽

Ali Akgunduz

Keyword(s):

3D Models ◽

Human Motion ◽

Facility Management ◽

Virtual Manufacturing ◽

Shop Floor ◽

Virtual Factory ◽

Depth Recovery ◽

Camera Location ◽

Virtual Manufacturing Environment ◽

2D Images

Abstract The fast construction of a Virtual Factory model without using a CAD package can be made possible by using computer vision techniques. In order to create a realistic Virtual Manufacturing environment, especially when such a model has to be created in correlation to an existing facility, a reliable algorithm that extracts 3D models from camera images is needed, and this requires exact knowledge of the camera location when capturing images. In this paper, we describe an approach for depth recovery from 2D images based on tracking a camera within the environment. We also explore the extension of our telemetry-based algorithm to remote facility management, by tracking and synchronizing human motion on the shop floor with motion of an avatar in a Virtual Environment representing the same shop floor.

Download Full-text

Automatic Creation of Virtual Artefacts from Video Sequences

Images and Artefacts of the Ancient World ◽

10.5871/bacad/9780197262962.003.0007 ◽

2005 ◽

Author(s):

Andrew W. Fitzgibbon ◽

Geoff Cross ◽

Andrew Zisserman

Keyword(s):

Focal Length ◽

3D Models ◽

Video Sequences ◽

Digital Representation ◽

The Third ◽

3D Presentation ◽

Object Features ◽

The Given ◽

System Geometry ◽

2D Images

Digital representation of an artefact is necessary in order to measure, admire and analyse such ancient pieces. For the purpose of storing, recoding and transmitting information, digital photographs may be enough. However, in the examination purposes of an artefact, a 3D presentation is invaluable as it allows the object viewpoint to be modified freely and 3D measurements to be taken on object features. This chapter describes the system by which 3D models from photographs can be acquired, without the need for the calibration of system geometry such as the camera focal length, relative motion of the camera and object, and the relative positions of the camera and object. This system instead computes the representation of all possible objects and camera configurations which are consistent with the given image. The first section discusses how tracking points observed in 2D images allows for the computation of the relative camera and object geometry. The second section discusses the construction of a triangulated 3D model from the object projections. The third section discusses the refinement of the model based on surface texture.

Download Full-text

Simultaneous Registration of 2D Images onto 3D Models for Texture Mapping

Digitally Archiving Cultural Objects ◽

10.1007/978-0-387-75807_13 ◽

2008 ◽

pp. 237-278 ◽

Cited By ~ 1

Author(s):

Ryo Ohkubo ◽

Ryo Kurazume ◽

Katsushi Ikeuchi

Keyword(s):

Texture Mapping ◽

3D Models ◽

Simultaneous Registration ◽

2D Images

Download Full-text

Classification of Left Atrial Appendage Morphology Using Deep Learning

2020 Design of Medical Devices Conference ◽

10.1115/dmd2020-9018 ◽

2020 ◽

Author(s):

Mikayle A. Holm ◽

Alex Deakyne ◽

Erik Gaasedelen ◽

Weston Upchurch ◽

Paul A. Iaizzo

Keyword(s):

Left Atrial ◽

Left Atrial Appendage ◽

Blood Clot ◽

3D Models ◽

Atrial Appendage ◽

Blood Clots ◽

Mri Scans ◽

2D Images ◽

Trained Network

Abstract Atrial fibrillation, a common cardiac arrhythmia, can lead to blood clots in the left atrial appendage (LAA) of the heart, increasing the risk of stroke. Understanding the LAA morphology can indicate the likelihood of a blood clot. Therefore, a classification convolutional neural network was implemented to predict the LAA morphology. Using 2D images of 3D models created from MRI scans of fixed human hearts and a pre-trained network, an 8.7% error rate was achieved. The network can be improved with more data or expanded to classify the LAA from the automatically segmented DICOM datasets and measure the LAA ostia.

Download Full-text

3D Modeling of Transformer Substation Based on Mapping and 2D Images

Mathematical Problems in Engineering ◽

10.1155/2016/9320502 ◽

2016 ◽

Vol 2016 ◽

pp. 1-6 ◽

Cited By ~ 2

Author(s):

Lei Sun ◽

Xuesong Suo ◽

Yifan Liu ◽

Meng Zhang ◽

Lijuan Han

Keyword(s):

Laser Scanner ◽

3D Models ◽

Complex Data ◽

Mapping Data ◽

Transformer Substation ◽

Hazardous Area ◽

3D Databases ◽

Different Shapes ◽

Area Classification ◽

2D Images

A new method for building 3D models of transformer substation based on mapping and 2D images is proposed in this paper. This method segments objects of equipment in 2D images by usingk-means algorithm in determining the cluster centers dynamically to segment different shapes and then extracts feature parameters from the divided objects by using FFT and retrieves the similar objects from 3D databases and then builds 3D models by computing the mapping data. The method proposed in this paper can avoid the complex data collection and big workload by using 3D laser scanner. The example analysis shows the method can build coarse 3D models efficiently which can meet the requirements for hazardous area classification and constructions representations of transformer substation.

Download Full-text

Distance metric between 3D models and 2D images for recognition and classification

Proceedings of IEEE Conference on Computer Vision and Pattern Recognition ◽

10.1109/cvpr.1993.340986 ◽

2002 ◽

Cited By ~ 3

Author(s):

D. Weinshall ◽

R. Basri

Keyword(s):

3D Models ◽

Distance Metric ◽

2D Images

Download Full-text

Improvement of Color Information in the Generation of 3D Models of Real Objects Using Range Intensity Images

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.523-524.362 ◽

2012 ◽

Vol 523-524 ◽

pp. 362-367

Author(s):

Toru Takahama ◽

Ryo Inomata ◽

Kenji Terabayashi ◽

Kazunori Umeda ◽

Guy Godin

Keyword(s):

3D Model ◽

Geometric Model ◽

Texture Mapping ◽

3D Models ◽

Correction Method ◽

Image Sensor ◽

Color Images ◽

Range Image ◽

Color Information ◽

Intensity Image

Texture mapping on scanned objects, which is the method to map color images on a 3D geometric model measured by a range image sensor, is often used for constructing a realistic 3D model. Color images are affected by the illumination conditions. Therefore, discontinuities of seams occur when simply applying texture mapping. In this paper, we propose a method for correcting the discontinuities using a range intensity image. A range intensity image is a kind of intensity image that is related to the reflectance ratio of the measured points, simultaneously acquired with a range image using an active range sensor. The method estimates the color information that is not affected by the lighting environment using multiple color images and a range intensity image. As a result, the method is effective to construct a 3D model with seamless color images. The effectiveness of the correction method is illustrated by experiments with real-world objects.

Download Full-text