Empirical Evaluation Methods in Computer Vision
โ Scribed by Henrik I. Christensen, Jonathon Phillips
- Year
- 2002
- Tongue
- English
- Leaves
- 170
- Edition
- 1st
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This text provides comprehensive coverage of methods for the empirical evaluation of computer vision techniques. The practical use of computer vision requires empirical evaluation to ensure that the overall system has a guaranteed performance. The work contains articles that cover the design of experiments for evaluation, range image segmentation, the evaluation of face recognition and diffusion methods, image matching using correlation methods, and the performance of medical image processing algorithms.
๐ SIMILAR VOLUMES
Provides comprehensive coverage of methods for the empirical evaluation of computer vision techniques.
Few developments have influenced the field of computer vision in the last decade more than the introduction of statistical machine learning techniques. Particularly kernel-based classifiers, such as the support vector machine, have become indispensable tools, providing a unified framework for solvin
<span>Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often characterized as the study of automatically converting non-linguistic representations (e.g., from databases or other knowledge sources) into coherent natural language text. In recent years the fi
Few developments have influenced the field of computer vision in the last decade more than the introduction of statistical machine learning techniques. Particularly kernel-based classifiers, such as the support vector machine, have become indispensable tools, providing a unified framework for solvin
<p><i>Advanced Methods and Deep Learning in Computer Vision</i> presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5โ10 years. The book provides clear explanations of principles and algorithms supported with applications. Top