Mark Jenkinson

The focus is on the basics. Presented in concise, intuitive style, this guide has everything amateur photographers need to know to produce great images, whether shooting in digital or film. Best of all, each chapter includes FAQs and full-color visual examples to turn good shots into great shots. Professional photographer Mark Jenkinson shares tips and tricks for: -Understanding how the features and controls affect photographs. -Making the best use of manual, aperture priority, and shutter priority settings. -Shooting moving objects. -Shooting in bright light or nighttime settings. -Adjusting depth of field. -Improving composition and lighting. -Choosing the best format for storing digital images.

Turn Snapshots into Masterpieces with These Easy Fundamentals

The Complete Idiot's Guide to Photography Essentials

Georg Langs

Bjoern Menze

Henning Müller

Albert Montillo

M. Jorge Cardoso

Tal Arbel

B. Michael Kelm

Weidong Cai

Dimitris Metaxas

William M. Wells III

Shaoting Zhang

Albert C.S. Chung

Annemie Ribbens

This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2016, and of the International Workshop on Bayesian and grAphical Models for Biomedical Imaging, BAMBI 2016, held in Athens, Greece, in October 2016, held in conjunction with the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016. The 13 papers presented in MCV workshop and the 6 papers presented in BAMBI workshop were carefully reviewed and selected from numerous submissions. The goal of the MCV workshop is to explore the use of "big data” algorithms for harvesting, organizing and learning from large-scale medical imaging data sets and for general-purpose automatic understanding of medical images. The BAMBI workshop aims to highlight the potential of using Bayesian or random field graphical models for advancing research in biomedical image analysis.

MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging

Michael Chappell

MRI has emerged as a powerful way of studying in-vivo brain structure and function in both healthy and disease states. Whilst new researchers may be able to call upon advice and support for acquisition from operators, radiologists and technicians, it is more challenging to obtain anunderstanding of the principles of analysing neuroimaging data. This is crucial for choosing acquisition parameters, designing and performing appropriate experiments, and correctly interpreting the results. This primer gives a general and accessible introduction to the wide array of MRI-based neuroimaging methods that are used in research. Supplemented with online datasets and examples to enable the reader to obtain hands-on experience working with real data, it provides a practical and approachableintroduction for those new to the neuroimaging field. The text also covers the fundamentals of what different MRI modalities measure, what artifacts commonly occur, the essentials of the analysis, and common "pipelines" including brain extraction, registration and segmentation. As it does not require any background knowledge beyond high-school mathematics and physics, this primer is essential reading for anyone wanting to work in neuroimaging or grasp the results coming from this rapidly expanding field.The Oxford Neuroimaging Primers are short texts aimed at new researchers or advanced undergraduates from the biological, medical or physical sciences. They are intended to provide a broad understanding of the ways in which neuroimaging data can be analyzed and how that relates to acquisition andinterpretation. Each primer has been written so that it is a stand-alone introduction to a particular area of neuroimaging, and the primers also work together to provide a comprehensive foundation for this increasingly influential field.

Introduction to Neuroimaging Analysis

The ability to create an effective portrait is probably the single most important skill any aspiring photographer must master. Few professional photographers, whatever their area of specialization, can hope to have a successful career without ever being called upon to create a likeness of another person. The Portrait Photography Course is designed to build a student photographer's experience and get him or her started on a rewarding career. Detailed tutorials cover every aspect of studio and location work, from composition and psychology to complex lighting schemes, equipment options, and digital retouching. Portfolios of exemplary images showcase individual photographers' work and demonstrate techniques explored in the tutorials, while interviews with top portrait photographers shed insight into their methodologies and philosophies. Presented and written by a leading portrait photographer, this book is an indispensable guide to taking professional pictures.¿

The Portrait Photography Course

Mark Jenkinson

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