Face Feature Extraction
Advertisement
Point Cloud Feature Extraction for v.1.0
Point Cloud Feature Extraction for Civil 3D provides versatile tools to facilitate the processing of point cloud data.
Advertisement
FACE
FACE is a kind of desktop access control software basing on the advanced technology of facial recognition. It provides an easy access to Windows logon.When you log onto the system,it will recognize you and provide the access as long as you face the camera
Signal feature extractor toolkit v.alpha
Feature extraction toolkit based on a wavelet multiscalevision model.
GiSeek v.2. 2. 2004
GiSeek is a smart photo viewer with leading search engine. GiSeek has the following advantages: - Automatic and Efficient Face Search Automatic face detection, automatic feature extraction.
Sonic Annotator v.0.5
Sonic Annotator is a software for batch feature extraction from audio files. Sonic Annotator (formerly known as "Runner") is a command line software for batch extraction of audio features from multiple audio files.
Sonic Visualiser v.1.8
Sonic Visualiser is an software for viewing and analysing the contents of music audio files. Sonic Visualiser is the software you need when you find a musical recording you want to study rather than simply hear.
JAudio v.1.0.4
jAudio is a project implementing a number of common feature extraction algorithms for analyzing audio in java.
Segfried v.0.2
Segfried is an audio feature extraction and segmentation utility
Abrosoft FantaFace Mixer v.2.1.5
Abrosoft FantaFace Mixer enables you to blend multiple portraits and mix them into a unique, synthetic composition. The software can automatically extract basic facial features and crop images to a suitable size.
VeriLook Embedded SDK Trial v.1.0
Mobile face recognition SDK for Android smatphones, tablets and other embedded devices. The biometric technology processes multiple faces in a frame, provides PC-like facial identification quality and compact face template. Processes a single face
OpenEAR v.0.1.0
Tool that features audio extraction algorithms. openEAR is the Munich Open-Source Emotion and Affect Recognition Toolkit developed at the Technische Universit t M nchen (TUM).