Polarization vision: a new sensory approach to image understanding

计算机科学 人工智能 极化(电化学) 计算机视觉 模块化设计 图像传感器 色调 感知 光学 物理 心理学 操作系统 物理化学 神经科学 化学
作者
Lawrence B. Wolff
出处
期刊:Image and Vision Computing [Elsevier BV]
卷期号:15 (2): 81-93 被引量:213
标识
DOI:10.1016/s0262-8856(96)01123-7
摘要

Overviewed are recent results of a new general approach to image understanding and computer vision utilizing the sensing of polarization of light. Whereas human vision is oblivious to components of light polarization, polarization parameters of light are shown to provide an important visual extension to intensity and color significantly expanding the application potential for image understanding. A physical state of polarization can be visualized directly in human terms as a particular hue and saturation, and this paper utilizes such a scheme presenting images of ordinary scenes as never seen before by humans in the domain of polarization vision. Metaphorically, humans are 'color blind' with respect to the perception of polarization, and even though this does not appear to inhibit human visual performance, we show how polarization vision is a sensory augmentation that can significantly enhance both automated image understanding and even possibly improve human visual performance itself under certain conditions. Sensors, calledpolarization cameras, have been developed that automatically sense components of partial linear polarization and computationally process these components to produce polarization images. Prototypes of different polarization camera sensors have been presented in earlier literature. A recent advancement in the design of polarization cameras has made it possible to interface low-cost modular components with almost any existing imaging device converting it into an automatic polarization camera. This compatibility with small portable imaging devices is making polarization imaging for the first time accessible to a number of application areas outside the laboratory, both outdoors and underwater, revealing polarization vision as a vast new visually augmented domain with unique capabilities. This paper presents various results from three on-going field applications: natural object recognition, inspection of ship hulls for damage, and marine biology.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
orixero应助依楼采纳,获得10
1秒前
雪白鸿涛发布了新的文献求助10
3秒前
风铃鸟发布了新的文献求助10
3秒前
充电宝应助cff采纳,获得10
4秒前
言余完成签到,获得积分10
5秒前
火星上的沛春完成签到,获得积分10
6秒前
7秒前
7秒前
雪白鸿涛完成签到,获得积分10
8秒前
shidandan完成签到 ,获得积分10
10秒前
虾米发布了新的文献求助10
12秒前
12秒前
14秒前
鱼咬羊发布了新的文献求助30
15秒前
16秒前
18秒前
小马牛油完成签到,获得积分10
21秒前
虞糜发布了新的文献求助10
22秒前
科研通AI5应助欢喜的天空采纳,获得10
22秒前
小马牛油发布了新的文献求助20
25秒前
26秒前
26秒前
27秒前
asdfks完成签到,获得积分10
28秒前
春申君完成签到 ,获得积分10
28秒前
29秒前
千空完成签到,获得积分10
29秒前
31秒前
31秒前
Ava应助nylon采纳,获得10
32秒前
鱼子酱发布了新的文献求助10
33秒前
千空发布了新的文献求助10
35秒前
35秒前
李一诺发布了新的文献求助10
36秒前
Mira发布了新的文献求助10
38秒前
小鱼儿完成签到,获得积分10
38秒前
38秒前
勤恳风华完成签到,获得积分10
39秒前
SinnyMou发布了新的文献求助10
41秒前
鱼子酱完成签到,获得积分10
42秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Continuum Thermodynamics and Material Modelling 2000
Encyclopedia of Geology (2nd Edition) 2000
105th Edition CRC Handbook of Chemistry and Physics 1600
Maneuvering of a Damaged Navy Combatant 650
Mixing the elements of mass customisation 300
the MD Anderson Surgical Oncology Manual, Seventh Edition 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3778226
求助须知:如何正确求助?哪些是违规求助? 3323870
关于积分的说明 10216390
捐赠科研通 3039102
什么是DOI,文献DOI怎么找? 1667782
邀请新用户注册赠送积分活动 798389
科研通“疑难数据库(出版商)”最低求助积分说明 758366