Welcome to RPI Intelligent Systems
Lab (ISL) Image Databases
The goal
of the ISL Image Databases is to share image data sets with researchers around
the world. The ISL image databases consist of four major parts: medical image
databases, fatigue image databases, face and eye databases, and facial
expression databases.
1. Unprocessed images
This database contains the unprocessed images from different
sources.
This
database is collected from website by our own research group. It can be used in
many applications such as face detection, eye detection, and face pose
estimation.
This
database is created by our own research group. It consists of video sequences
and static images. It can be used in many applications such as face and eye
detection, face tracking, face pose estimation, and face recognition.
This
database is constructed by our own research group. It consists of image
sequences taken under IR cameras. Each image sequence is decomposed into dark pupil
image sequence and its corresponding bright pupil image sequence. This database
is primarily used in eye detection and tracking.
o Face Databases from Other Research Groups
o
Eye
Databases from Other Research Groups
The
training image databases contain the cropped image region of interest (ROI) for
training various classifiers including eye, eye corner, and face.
o ISL Facial Expression
Databases
This database is collected by
our own research group. It is primarily used for facial action unit
recognition. It consists of two subsets: frontal-view facial expression
database and multi-view facial expression database.
o ISL Enhanced Cohn-Kanade
AU-coded Facial Expression Database
Our research group has manually
created more groundtruth data for Cohn-Kanade AU-coded facial expression
database including the frame-by-frame AU labeling and coordinates of 34 facial
feature points.
This database consists of face and eye images for human subjects
under different fatigue states
This database consists of medical images for microtubule
segmentation, membrane segmentation, and C-elegans (nematode worms)
segmentation.
o Face Databases from Other Research Groups
o
Eye
Databases from Other Research Groups
o Facial Expression
Databases from Other Research Groups
The RPI ISL databases are
publicly available for non-commercial use. Any commercial
distribution or any act related to commercial use of this database is strictly
prohibited. For
access to RPI ISL databases, please contact Professor Qiang Ji (qji@ecse.rpi.edu), if you are interested in
getting a copy of the databases.