General software:
- OpenCV (open source computer vision library)
- SimpleCV (computer vision plarform using Python)
- Camellia (open source Image Processing & Computer Vision library)
- VXL (the Vision-something-Libraries) is a collection of C++ libraries designed for computer vision research and implementation
- Fiji Is Just ImageJ
- Weka (Java data mining software)
- Netlab (matlab toolbox for data analysis techniques, de Ian Nabney y Christopher Bishop)
- PCL (es una plataforma para trabajar con nube de puntos)
- Gandalf (is a computer vision and numerical algorithm library)
- CloudCompare (3D point cloud and mesh processing software Open Source Project).
-
OCR (Código de reconocimiento de caracteres).
Software 3D:
- Computer Vision Laboratory (CVLAB).
- 123Dcatch.
- PMVS y CMVS.
- Visual SFM.
- Carving.
- Visual Hull.
- Middlebury.
- Middlebury Stereo Benchmark Page (2010).
- Ciclop bq; OpenTLD
Datasets:
- Compiled list of image datasets
- Object recognition databases (lista de Kevin Murphy)
- Various useful databases and image sources (lista de Alyosha Efros)
- Oxford Visual Geometry Group (enlaces a datasets y software)
- Skin segmentation datasets:
- Compaq dataset is about 530 MB in size. You need to use linux to unpack the tar file. Afterwards there should be 3 directories and 3 image lists. There should also be a readme.txt explaining the dataset more elaborate.
- ECU dataset published by Phung et. al 2005: "Skin Segmentation Using Color Pixel Classification: Analysis and Comparison" in PAMI is a better and bigger dataset. It provides high quality images and accurate ground thruth data (in contrast to poor image quality in Compaq with semi-supervised ground truth). You need to contact the authors to get access to this dataset.
Performance evaluation software: