Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.8%) to scientific vocabulary
Repository
Active Appearance Models in C++
Basic Info
- Host: GitHub
- Owner: cheind
- Language: C++
- Default Branch: master
- Size: 997 KB
Statistics
- Stars: 22
- Watchers: 4
- Forks: 7
- Open Issues: 3
- Releases: 0
Metadata Files
README.md
About this library
Active Appearance Models is a small C++ library providing implementations for training, fitting and tracking active appearance models.
Active Appearance Models
Implementation is based on [1]. Warning: this code is currently under heavy development and not suited for production usage.
Building from source
Active Appearance Models requires the following pre-requisites - CMake - for generating cross platform build files - OpenCV - for image processing related functions - Eigen 3.2.7 - for sparse linear system solving
To build from source - Point CMake to the cloned git repository - Click CMake Configure - Point EIGENINCLUDEDIR to the location of Eigen header directory - Point OpenCV_DIR to the directory containing the file ´OpenCVConfig.cmake´ - Click CMake Generate
Although Active Appearance Models should build across multiple platforms and architectures, tests are carried out on these systems - Windows 8/10 MSVC10 x86 - OS X 10.10 XCode 6.x
If the build should fail for a specific platform, don't hesitate to create an issue.
Test Databases
Active Appearance Models can be trained on the following test databases
- IMM Face Database [2] http://www.imm.dtu.dk/~aam/datasets/datasets.html
References
[1] Matthews, Iain, and Simon Baker. "Active appearance models revisited." International Journal of Computer Vision 60.2 (2004): 135-164.
[2] Nordstrøm, Michael M., et al. The IMM face database-an annotated dataset of 240 face images. Technical University of Denmark, DTU Informatics, Building 321, 2004.
License
``` This file is part of Active Appearance Models (AAM).
Copyright Christoph Heindl 2015 Copyright Sebastian Zambal 2015
AAM is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
AAM is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with AAM. If not, see http://www.gnu.org/licenses/. ```
Owner
- Name: Christoph Heindl
- Login: cheind
- Kind: user
- Location: Austrian area
- Website: https://cheind.github.io/
- Repositories: 88
- Profile: https://github.com/cheind
I am a computer scientist working at the interface of perception, robotics and deep learning.
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 3
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 2
- Total pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- cheind (2)
- ashishk98 (1)