Face recognition: A literature survey

W Zhao, R Chellappa, PJ Phillips… - ACM computing surveys …, 2003 - dl.acm.org
As one of the most successful applications of image analysis and understanding, face
recognition has recently received significant attention, especially during the past several …

Head pose estimation in computer vision: A survey

E Murphy-Chutorian, MM Trivedi - IEEE transactions on pattern …, 2008 - ieeexplore.ieee.org
The capacity to estimate the head pose of another person is a common human ability that
presents a unique challenge for computer vision systems. Compared to face detection and …

Support vector machines

MA Hearst, ST Dumais, E Osuna, J Platt… - … Systems and their …, 1998 - ieeexplore.ieee.org
My first exposure to Support Vector Machines came this spring when heard Sue Dumais
present impressive results on text categorization using this analysis technique. This issue's …

Training support vector machines: an application to face detection

E Osuna, R Freund, F Girosit - Proceedings of IEEE computer …, 1997 - ieeexplore.ieee.org
We investigate the application of Support Vector Machines (SVMs) in computer vision. SVM
is a learning technique developed by V. Vapnik and his team (AT&T Bell Labs., 1985) that …

Face recognition by elastic bunch graph matching

L Wiskott, JM Fellous, N Krüger… - … in fingerprint and …, 2022 - api.taylorfrancis.com
We set ourselves the task of recognizing persons from single images by reference to a
gallery, which also contained only one image per person. Our problem was to address …

A trainable system for object detection

C Papageorgiou, T Poggio - International journal of computer vision, 2000 - Springer
This paper presents a general, trainable system for object detection in unconstrained,
cluttered scenes. The system derives much of its power from a representation that describes …

[PDF][PDF] Support vector machines: Training and applications

EE Osuna - 1998 - dspace.mit.edu
1.1 Overview of Learning Systems and Concepts.............. 1.1. 1 What is a Learning
System?................... 1.1. 2 The Paradigm of Example-based Learning........... 1.1. 3 Example …

System and method for multi-modal focus detection, referential ambiguity resolution and mood classification using multi-modal input

SH Maes, CV Neti - US Patent 6,964,023, 2005 - Google Patents
5,367,454. A 11/1994 Kawamoto et al.......... 715/706 5,517,021 A 5/1996 Kaufman et al.
5,600,765 A 2/1997 Ando et al. 5,771,042 A 6/1998 Santos-Gomez 5,877,763 A* 3/1999 …

Visual tracking using depth data

K Fujimura, H Nanda - US Patent 7,590,262, 2009 - Google Patents
Provi'al application No. 60/474,795, on 29'2'provisi all application NO_ 497,' Real-time
visual tracking using depth sensing camera tech? led on Aug 20, 2 nology, results in …

Target orientation estimation using depth sensing

K Fujimura, Y Zhu - US Patent 7,620,202, 2009 - Google Patents
Related US Application Data(57) ABSTRACT (60) Provisional application No. 60/478,211,
filed on Jun. A system for estimating orientation of a target based on 12, 2003. real-time …