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The yale face database download

The yale face database

The original dataset from faces/ The original dataset in PGM format. matlab/ Code used to process the original YALE dataset rotated/ Faces rotated so eyes are aligned horizontally centered/ Rotated faces cropped and middle of eyes centered. unpadded/ Centered faces cropped out supported/ . Labeled Faces in the Wild The MUCT Face Database The Yale Face Database B The Yale Face Database PIE Database The UMIST Face Database Olivetti - Att - ORL The Japanese Female Facial Expression (JAFFE) Database The Human Scan Database The University of Oulu Physics-Based Face Database XM2VTSDB. 10 Sep The Yale Face Database (size MB) contains grayscale images in GIF format of 15 individuals. There are 11 images per subject, one per different facial expression or configuration: center-light, w/glasses, happy, left-light, w/no glasses, normal, right-light, sad, sleepy, surprised, and wink.

Yale database. Contains grayscale images in GIF format of 15 individuals. There are 11 images per subject, one per different facial expression or configuration: center-light, w/glasses, happy, left-light, w/no glasses, normal, right -light, sad, sleepy, surprised, and wink. 32x32 Data File: contains variables 'fea' and 'gnd'. The extended Yale Face Database B contains images of 28 human subjects under 9 poses and 64 illumination conditions. The data format of this database is the same as the Yale Face Database B. Please refer to the homepage of the Yale Face Database B for. 14 Oct Another way is to choose the data set specific to the property to be tested (e.g. how algorithm behaves when given images with lighting changes or images with different facial expressions). If, on the other hand, an algorithm needs to be trained with more images per class (like LDA), Yale face database is.

The Yale Face Database contains grayscale images in GIF format of 15 individuals. There are 11 images per subject, one per different facial expression or configuration: center-light, w/glasses, happy, left-light, w/no glasses, normal, right-light, sad, sleepy, surprised, and wink. The database contains single light source images of 10 subjects each seen under viewing conditions (9 poses x 64 illumination conditions). For every subject in a particular pose, an image with ambient (background) illumination was also captured. Hence, the total number of images is in fact +90= The Yale Face Database. In this assignment, we will have a look at some simple techniques for object recognition, in particular, we will try to recognize faces. The face data that we will use is derived from the Yale Face Database. For more information, follow link from ~iskwak/ExtYaleDatabase/ ExtYaleB.

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