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– One-time authorization key
– Client supports web based or client based authentication
– One-time connection key
– Locks browser from changing address bar and reloading content (usually on public networks)
– Locks browser from loading new page during use
– Runs on Windows 2000, Windows XP, Windows Server 2003, Windows Vista, Windows 7, Windows 2008, Windows 2008 R2, Windows Server 2008, Windows Server 2008 R2
– Runs on Mac OS X 10.4 Tiger, 10.5 Leopard, 10.6 Snow Leopard, 10.7 Lion

KEYMACRO Features:

– Two-factor authentication
– Full audit trail of any activity.
– Supports “Perfect Forward Security” (PFS) with hardware encryption key.
– Supports backward compatibility with XP and Server 2k authentication
– Can run as a Windows service or a console application
– Supports encrypted and unencrypted communications between client and server
– Supports WebDAV support (requires )
– Supports Kerberos 5.1, Kerberos 4.0, and Kerberos 3.0 authentication
– Supports CredSSP authentication (requires )
– Supports LDAP authentication (requires )
– Supports HTTP Basic Authentication, Basic HTTP Authentication, HTTP Digest Authentication, and HTTP NTLM authentication
– Supports https, ssl, and plain http
– Supports Kerberos 5.0, Kerberos 4.0, and Kerberos 3.0 encryption
– Supports AES 256 bit symmetric encryption
– Supports X.509 certificates (.CER.DER.PFX)
– Supports unencrypted authentication and encryption
– Supports TLS 1.0 and 1.1
– Supports AES 256 bit, 3DES 192 bit, 3DES 128 bit, RC4 128 bit, and RC4 96 bit encryption
– Supports the Secure Sockets Layer (SSL)
– Supports Secure Socket Layer 3 (SSL3) and Secure Socket Layer 2 (SSL2) encryption
– Supports Protocol Message Security (PMS)
– Supports Packet Encryption Algorithm 1 (PkAlg1) and Packet Encryption Algorithm 2 (PkAlg2) encryption
– Supports DES based 384a16bd22

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LIBELAS is built as a cross-platform C++ library with MATLAB wrappers for computing disparity maps from rectified graylevel stereo pairs.
LIBELAS is designed for robustness and performance and does not depend on a fixed set of library functions.

The database contains 145 open-access images of real-world scenes with a range of 3-12K measurements. These images have been used for experiments, evaluation and comparison with other disparity estimation algorithms.
For each image, the database contains a ground truth image (input), an image with the estimated disparity values, a meta-file with information about the scenes, the acquisition protocol and the camera/lens combinations.
In particular, the following data are provided:
1) Ground truth image: the original image on which the distance measurement has been performed.
2) Estimated disparity image: original image with estimated disparity values.
3) Analysis file: provides information about the camera/lens combinations and acquisition protocol. It is composed by one line for each analyzed image. For each camera/lens combination, the file contains: lens ID, f-stop value, focal length and the distance between the camera and the object.

This database contains 40 large real-world images of streets. They have been captured by a Canon camera and by a 3dof stereo camera. Each image has been evaluated manually in a semi-automatic way to determine the disparity measurement, occlusions and edge breakages.
As a result, each image can be evaluated and treated differently, according to the identified faults.
For each image, the database contains a ground truth image (input), an image with the estimated disparity values, a meta-file with information about the scenes, the acquisition protocol and the camera/lens combinations.
In particular, the following data are provided:
1) Ground truth image: the original image on which the distance measurement has been performed.
2) Estimated disparity image: original image with estimated disparity values.
3) Analysis file: provides information about the camera/lens combinations and acquisition protocol. It is composed by one line for each analyzed image. For each camera/lens combination, the file contains: lens ID, f-stop value, focal length and the distance between the camera and the object.

This database contains 16 images of real-world scenes with a range of 10-20K measurements. These images have been used for experiments, evaluation and comparison with other disparity estimation algorithms.
For each

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