图 书 馆
用于识别的图像结构和语法Image Structure and Syntax for Recognition |
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| 课程网址: | http://videolectures.net/ssspr2010_ahuja_iss/ |
| 主讲教师: | Narendra Ahuja |
| 开课单位: | 伊利诺伊大学 |
| 开课时间: | 2010-09-13 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | What general purpose image representation could serve the diverse needs of image recognition? How to represent the spectral and spatial structure of an image? What makes good image syntax? How do we evaluate it? In this paper, we present partial answers to these and related questions. The syntax we present is defined in terms of image regions, or segments. It captures the recursive embedding of all regions, their geometric and photometric properties, and their spatial layout. We discuss its invariance to changes in imaging conditions (e.g., lighting, scale, orientation), and its ability to isolate and simplify inference of semantics, as would be expected from any syntax. We describe some properties of such syntax, and evaluate its performance on some basic recognition problems. |
| 关 键 词: | 通用图像; 图像识别; 语义推理 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-07-13：yumf |
| 阅读次数: | 58 |