Dec 29, 2017 CASIA Iris Image Database. Vpa2 Databases CASIA_Iris_Database. The source site is below. You cannot download files in this forum. CASIA-Iris V2 Device 1 (a) imaging device (b) result image [4]. Each iris image has 60 different classes; all images are stored in bmp format at 640*480 resolution. 3 and Figure 4 shows the imaging devices used to capture the iris images in CASIA V2 database. CASIA-Iris V2 Device. Therefore we are pleased to release to the public domain CASIA Iris Image Database V3.0 (or CASIA-IrisV3 for short). Download the CASIA Iris Image Databases.

CASIA Iris Image Database (CASIA-Iris) developed by our research group has been released to the international biometrics community and updated from CASIA-IrisV1 to CASIA-IrisV3 since 2002. More than 3,000 users from 70 countries or regions have downloaded CASIA-Iris and much excellent work on iris recognition has been done based on these iris image databases. Although great progress of iris recognition has been achieved since 1990s, the rapid growth of iris recognition applications has clearly highlighted two challenges, i.e.

Usability and scalability. Download Ceramah Ustad Cepot Lucu.

CASIA Face Image Database Version 5.0 (or CASIA-FaceV5) contains 2,500 color facial images of 500 subjects. The face images are captured using Logitech USB camera in one session. All face images are 16 bit color BMP files and the image resolution is 640*480. Typical intra-class variations include illumination, pose, expression, eye-glasses, imaging distance, etc.

CASIA 3D Face Database Version 1.0 contains 4,624 scans of 123 persons using the non-contact 3D digitizer, Minolta Vivid 910. We consider not only the single variations of poses, expressions and illuminations, but also the combined variations of expressions under illumination and poses under expressions. From each scan, one 2D color image and one 3D facial triangulated surface are generated. CASIA Gait Database includes three datasets: Dataset A was created on Dec. 10, 2001, including 20 persons. The size of Dataset A is about 2.2GB and the database includes 19139 images.

Dataset B is a large multi-view gait database, which is created in Jan. There are 124 subjects, and the gait data was captured from 11 views. Three variations, namely view angle, clothing and carrying condition changes, are separately considered. Dataset C was collected by an infrared (thermal) camera in Jul.-Aug.

It contains 153 subjects and takes into account four walking conditions: normal walking, slow walking, fast walking, and normal walking with a bag. The videos were all captured at night.