Add to ORKGThe objective of this project is to perform 3D modeling using machine learning techniques, extensive research on 3D modeling and machine learning techniques were conducted. Machine learning methods are classified as the image rending-based methods, it has the features of low cost, flexible in application, easy to set up, which are desired in most of the application scenarios. In-depth study and testing of 3D-R2N2 network is also carried out. LSTM, CNN networks are studied during the process of understand the network structure of 3D-R2N2. As well as dataset preparations including image rendering and voxel grid, which are fundamental steps of machine learning works. Test Results of two dataset, ShapeNet used in previous, and ModelNet40, extra...
The paradigm of Convolutional Neural Network (CNN) has already shown its potential for many challeng...
Machine learning (ML) is a key technology in smart manufacturing as it provides insights into comple...
A desirable 3D model classification system should be equipped with qualities such as highly correct ...
The objective of this project is to perform 3D modeling using machine learning techniques, extensive...
As technologies advance over the years, machine learning techniques have advanced and are applied in...
As technologies advance over the years, machine learning techniques have advanced and are applied in...
This thesis primarily investigates the potential of the Pairwise Geometric Histogram (PGH) represent...
The research presented herein is a methodology for reconstructing a 3D object from a single 2D image...
Graduation date:2017Reasoning about 3D shape of objects is important for successful computer vision\...
3D Object Classification Using Neural Networks Bc. Miroslav Krabec Classification of 3D objects is o...
This research project is based on generated images and how they can relate to each other in 3D space...
Inferring the 3-dimensional structure and geometry of scenes and objects from one or multiple 2-dime...
The paradigm of Convolutional Neural Network (CNN) has already shown its potential for many challeng...
The paradigm of Convolutional Neural Network (CNN) has already shown its potential for many challeng...
A desirable 3D model classification system should be equipped with qualities such as highly correct ...
The paradigm of Convolutional Neural Network (CNN) has already shown its potential for many challeng...
Machine learning (ML) is a key technology in smart manufacturing as it provides insights into comple...
A desirable 3D model classification system should be equipped with qualities such as highly correct ...
The objective of this project is to perform 3D modeling using machine learning techniques, extensive...
As technologies advance over the years, machine learning techniques have advanced and are applied in...
As technologies advance over the years, machine learning techniques have advanced and are applied in...
This thesis primarily investigates the potential of the Pairwise Geometric Histogram (PGH) represent...
The research presented herein is a methodology for reconstructing a 3D object from a single 2D image...
Graduation date:2017Reasoning about 3D shape of objects is important for successful computer vision\...
3D Object Classification Using Neural Networks Bc. Miroslav Krabec Classification of 3D objects is o...
This research project is based on generated images and how they can relate to each other in 3D space...
Inferring the 3-dimensional structure and geometry of scenes and objects from one or multiple 2-dime...
The paradigm of Convolutional Neural Network (CNN) has already shown its potential for many challeng...
The paradigm of Convolutional Neural Network (CNN) has already shown its potential for many challeng...
A desirable 3D model classification system should be equipped with qualities such as highly correct ...
The paradigm of Convolutional Neural Network (CNN) has already shown its potential for many challeng...
Machine learning (ML) is a key technology in smart manufacturing as it provides insights into comple...
A desirable 3D model classification system should be equipped with qualities such as highly correct ...