3DVeniceWellheads: Difference between revisions

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== Project Plan ==
== Project Plan ==
The project is very organized
 
{|class="wikitable"
! style="text-align:center;"|Date
! Task
! Completion
|-
|By Week 3
|
* Brainstorm project ideas, come up with at least one feasible innovative idea.
* Prepare slides for initial project idea presentation.
| align="center" | ✓
|-
|By Week 8
|
* Study related works about geolocalisation.
* Determine the methods to be used.
* Obtain geo-tagged images from Flickr as training dataset.
* Prepare slides for midterm presentation.
| align="center" | ✓
|-
|By Week 9
|
* Implement the SIFT method, try to locate an image based on its feature points.
* Improve the SIFT method by using multi processing.
* Get result using SIFT method.
| align="center" | ✓
|-
|By Week 10
|
* Evaluate the result from SIFT.
* Construct our first regression model based on ResNet101 to obtain preliminary results.
| align="center" | ✓
|-
|By Week 11
|
* Try to fine tune the first model.
* Try other possible deep learning models.
* Finalize result of deep learning.
| align="center" | ✓
|-
|By Week 12
|
* Evaluate the results from deep learning.
* Implement web using Streamlit python package, deep learning method will be used on the web.
| align="center" | ✓
|-
|By Week 13
|
* Sort out the codes and push them to GitHub repository.
* Write project report.
* Prepare slides for final presentation.
| align="center" | ✓
|-
|By Week 14
|
* Finish presentation slides and report writing.
* Presentation rehearsal and final presentation.
| align="center" | --
|-
|}

Revision as of 11:56, 14 October 2021

Introduction

Hello this is the intro

Motivation

Across history, the role of churches evolved according to the societal organization of the time. Trade, state power, symbolic universes or even spirituality are all topics in which churches are highly involved. The aim of the project is thus to further deepen the role of Churches by 3D modelling from 2D maps and replacing them on the 1808 Venice cadaster. With such an augmentation, we could expect to be able to extract information about the distribution of Churches in Venice but also their architectural property. A property that could be linked with specific historic events and patterns.

Project Plan

Date Task Completion
By Week 3
  • Brainstorm project ideas, come up with at least one feasible innovative idea.
  • Prepare slides for initial project idea presentation.
By Week 8
  • Study related works about geolocalisation.
  • Determine the methods to be used.
  • Obtain geo-tagged images from Flickr as training dataset.
  • Prepare slides for midterm presentation.
By Week 9
  • Implement the SIFT method, try to locate an image based on its feature points.
  • Improve the SIFT method by using multi processing.
  • Get result using SIFT method.
By Week 10
  • Evaluate the result from SIFT.
  • Construct our first regression model based on ResNet101 to obtain preliminary results.
By Week 11
  • Try to fine tune the first model.
  • Try other possible deep learning models.
  • Finalize result of deep learning.
By Week 12
  • Evaluate the results from deep learning.
  • Implement web using Streamlit python package, deep learning method will be used on the web.
By Week 13
  • Sort out the codes and push them to GitHub repository.
  • Write project report.
  • Prepare slides for final presentation.
By Week 14
  • Finish presentation slides and report writing.
  • Presentation rehearsal and final presentation.
--