Advances in Computer Vision and Pattern Recognition - Böcker

Guide to Three Dimensional Structure and Motion Factorization

Machine Learning for Vision-Based Motion Analysis

Theory and Techniques

Human Recognition at a Distance in Video

Automatic Digital Document Processing and Management

Problems, Algorithms and Techniques

Computer Vision-Guided Virtual Craniofacial Surgery

A Graph-Theoretic and Statistical Perspective

Multispectral Satellite Image Understanding

From Land Classification to Building and Road Detection

Advanced Algorithmic Approaches to Medical Image Segmentation

State-of-the-Art Applications in Cardiology, Neurology, Mammography and Pathology

Statistical and Neural Classifiers

An Integrated Approach to Design

Autonomous Intelligent Vehicles

Theory, Algorithms, and Implementation

Guide to OCR for Indic Scripts

Document Recognition and Retrieval

Fundamentals of Computerized Tomography

Image Reconstruction from Projections

Support Vector Machines for Pattern Classification

Introduction to Object Recognition

Selected Algorithms for a Wide Variety of Applications

Guide to Three Dimensional Structure and Motion Factorization

Multimedia Interaction and Intelligent User Interfaces

Principles, Methods and Applications

Human Recognition at a Distance in Video

Machine Learning for Vision-Based Motion Analysis

Theory and Techniques

Automatic Digital Document Processing and Management

Problems, Algorithms and Techniques

Computer Vision-Guided Virtual Craniofacial Surgery

A Graph-Theoretic and Statistical Perspective

Multispectral Satellite Image Understanding

From Land Classification to Building and Road Detection

Handbook of Remote Biometrics

for Surveillance and Security

Statistical Learning and Pattern Analysis for Image and Video Processing

Object Recognition

Fundamentals and Case Studies

Consumer Depth Cameras for Computer Vision

Research Topics and Applications

Imaging Spectroscopy for Scene Analysis

Visual Texture

Accurate Material Appearance Measurement, Representation and Modeling

Decision Forests for Computer Vision and Medical Image Analysis

Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods

Shape Perception in Human and Computer Vision

An Interdisciplinary Perspective