Performance evaluation of 3D computer vision techniques
نویسندگان
چکیده
منابع مشابه
Performance Evaluation of 3 D Computer Vision Techniques
This work presents the implementation and comparison of three different techniques of three-dimensional computer vision as follows: • Stereo vision correlation between two 2D images • Sensorial fusion use of different sensors: camera 2D + ultrasound sensor (1D); • Structured light The computer vision techniques herein presented took into consideration the following characteristics: • Computatio...
متن کاملComputer Performance Evaluation Techniques
Computer performance evaluation is a key technology for research in computer architecture. The continuous growth in complexity of computer systems is making this task increasingly complex. In general, the problem of developing effective performance evaluation techniques can be stated as finding the best trade-off between accuracy and speed. This optimal trade-off is dependent on the particular ...
متن کاملComputer Vision Techniques for Complete 3D Model Reconstruction
of the Dissertation Computer Vision Techniques for Complete 3D Model Reconstruction by Huei-Yung Lin Doctor of Philosophy in Electrical and Computer Engineering State University of New York at Stony Brook 2002 This dissertation addresses the problem of automatic 3D model reconstruction of real objects. It has a number of applications in both computer vision and computer graphics areas such as i...
متن کاملA Usability Evaluation of Two Computer Vision-Based Selection Techniques
Conventional human-computer interaction techniques have been optimized for one specific usage case: a stationary individual whose full attention is devoted to the computer. The standard input hardware – a mouse and keyboard – are well-suited for this kind of interaction, but they function poorly in other usage cases. Desktop computers do not mesh well with other activities, such as (non-virtual...
متن کاملPerformance Evaluation of Classification Techniques for Computer Vision based Cashew Grading System
The performance of various classification algorithms greatly depends on the characteristics of the data to be classified. There is no single classifier that works best on all given problems. The purpose of this study is to develop the computer vision based cashew grading system in conjunction with most accurate classification technique. The performance of different classification techniques inc...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Brazilian Society of Mechanical Sciences
سال: 2002
ISSN: 0100-7386
DOI: 10.1590/s0100-73862002000300013