Study on new 3-D perception by depth fusion and binocular fusion and its application for 3-D display
深度融合与双目融合的新型3D感知研究及其在3D显示中的应用
基本信息
- 批准号:16500072
- 负责人:
- 金额:$ 1.98万
- 依托单位:
- 依托单位国家:日本
- 项目类别:Grant-in-Aid for Scientific Research (C)
- 财政年份:2004
- 资助国家:日本
- 起止时间:2004 至 2006
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
We studied a 3-D display that uses two stereoscopic displays at different depths aiming at the eye strain-free head mount display and found as follows. 1) Two same-shaped 3-D images displayed at different depths by the two stereoscopic displays were fused into one 3-D image when they were viewed as overlapping. 2) The perceived depth of the fused 3-D image depended on both the luminance ratio of the two 3-D images and their original perceived depths. These depth fusions were observed under conditions where the distance between the original perceived depths of the two 3-D images was short, i.e., under ten percent of the distance between the observer and 3-D display. 4) For a long distance between their original perceived depths, two 3-D images did not fuse into one image. However, they were closer to each other than their original positions.We applied a model in which the human visual system uses a low-pass filter to perceive the fused image, the same as that used for a conventional DFD display. The simulation results revealed that the perceived depth of the fused image changed depending on both the luminance ratio of the two 3-D images and their original perceived depth and the low-pass filter model accurately presented the perception of a 3-D image on our 3-D display. We also proposed a model for conditions where the two 3-D images do not fuse. When the human visual system undertakes binocular matching in this model, it selects the wrong pair of edges. That is, it sees the two edges of patterns displayed at different depths as the same edge, although they are the edges of different patterns. The simulation results revealed the proposed model accurately presented depth perception.
我们研究了针对眼睛无应变头戴式显示器在不同深度使用两个立体显示器的3-D显示器,并发现如下。1)当两个立体显示器在不同深度处显示的两个相同形状的3-D图像被视为重叠时,它们被融合成一个3-D图像。2)融合的3-D图像的感知深度取决于两个3-D图像的亮度比和它们的原始感知深度。这些深度融合是在两个3-D图像的原始感知深度之间的距离很短的条件下观察到的,即,低于观察者和3D显示器之间距离的10%。4)对于原始感知深度之间的长距离,两个3D图像不会融合成一个图像。然而,它们彼此之间比它们的原始位置更接近。我们应用了一种模型,在该模型中,人类视觉系统使用低通滤波器来感知融合图像,与传统的DFD显示器相同。仿真结果表明,融合图像的感知深度随两幅3-D图像的亮度比和原始感知深度的变化而变化,低通滤波器模型准确地反映了3-D图像在3-D显示器上的感知效果。我们还提出了一个模型的条件下,两个3-D图像不融合。当人类视觉系统在该模型中进行双目匹配时,它选择了错误的边缘对。也就是说,它将在不同深度显示的图案的两个边缘视为同一边缘,尽管它们是不同图案的边缘。仿真结果表明,该模型能够准确地呈现深度感知.
项目成果
期刊论文数量(17)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Accommodation Depth in 3-D Display System Using Two Stereoscopic Displays at Diggerent Depths
使用两个立体显示器的 3D 显示系统中的调节深度
- DOI:
- 发表时间:2007
- 期刊:
- 影响因子:0
- 作者:清水一宏;三浦孝夫;K.Uehira
- 通讯作者:K.Uehira
Accommodation Depth in 3-D Display System Using Two Stereoscopic Displays at Different Depths
使用不同深度的两个立体显示器的 3D 显示系统中的调节深度
- DOI:
- 发表时间:2007
- 期刊:
- 影响因子:0
- 作者:宝珍 輝尚;森本 歩;三原槙仁;K.Uehira
- 通讯作者:K.Uehira
Simulation of 3-D image depth perception on 3-D display using two stereoscopic displays at different depths
使用不同深度的两个立体显示器模拟 3D 显示器上的 3D 图像深度感知
- DOI:
- 发表时间:2006
- 期刊:
- 影响因子:0
- 作者:Atsushi Tsukikawa;Fumihito Furukawa;Kanemitsu Ootsu;Takashi Yokota;Takanobu Baba;C.Tanabe;河野優;河野優;H. Kiya;K.Uehira
- 通讯作者:K.Uehira
Compression of the Depth Map Image on Depth-Fused 3D Image Quality
深度融合 3D 图像质量的深度图图像压缩
- DOI:
- 发表时间:2005
- 期刊:
- 影响因子:0
- 作者:K.Uehira;他
- 通讯作者:他
New DFD Perception on 3-D Display System Using Two Stereoscopic Displays
使用两个立体显示器的 3D 显示系统的新 DFD 感知
- DOI:
- 发表时间:2007
- 期刊:
- 影响因子:0
- 作者:宮坂集策;石川佳治;北川博之;K.Uehira
- 通讯作者:K.Uehira
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
UEHIRA Kazutake其他文献
UEHIRA Kazutake的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('UEHIRA Kazutake', 18)}}的其他基金
New information hiding technology using invisibly brightness-modulated Light
使用不可见亮度调制光的新信息隐藏技术
- 批准号:
23650055 - 财政年份:2013
- 资助金额:
$ 1.98万 - 项目类别:
Grant-in-Aid for Challenging Exploratory Research
New depth perception induced by Artificially Generated Motion Parallax and its application to 3-D display
人工生成运动视差引起的新深度感知及其在 3D 显示中的应用
- 批准号:
20500116 - 财政年份:2008
- 资助金额:
$ 1.98万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
相似海外基金
Multi-Scale 3-D Image Analytics for High Dimensional Spatial Mapping of Normal Tissues
用于正常组织高维空间绘图的多尺度 3D 图像分析
- 批准号:
9893208 - 财政年份:2019
- 资助金额:
$ 1.98万 - 项目类别:
Multi-Scale 3-D Image Analytics for High Dimensional Spatial Mapping of Normal Tissues
用于正常组织高维空间绘图的多尺度 3D 图像分析
- 批准号:
10251375 - 财政年份:2019
- 资助金额:
$ 1.98万 - 项目类别:
Multi-Scale 3-D Image Analytics for High Dimensional Spatial Mapping of Normal Tissues
用于正常组织高维空间绘图的多尺度 3D 图像分析
- 批准号:
10246250 - 财政年份:2019
- 资助金额:
$ 1.98万 - 项目类别:
Intensity-Based Image Registration and 3-D Image Denoising
基于强度的图像配准和 3D 图像去噪
- 批准号:
1007506 - 财政年份:2010
- 资助金额:
$ 1.98万 - 项目类别:
Standard Grant
3 D IMAGE RECONSTRUCTION, GEOMETRY FEATURE EXTRACTION, & GRID GENERATION
3D图像重建、几何特征提取、
- 批准号:
7722714 - 财政年份:2008
- 资助金额:
$ 1.98万 - 项目类别:
3 D IMAGE RECONSTRUCTION, GEOMETRY FEATURE EXTRACTION, & GRID GENERATION
3D图像重建、几何特征提取、
- 批准号:
7602375 - 财政年份:2007
- 资助金额:
$ 1.98万 - 项目类别:
3-D image recognition for farm automation
用于农场自动化的 3D 图像识别
- 批准号:
18380154 - 财政年份:2006
- 资助金额:
$ 1.98万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
In-vivo kinematic analysis of the ACL-reconstructed knee using fuzzy ROI based 2-D/3-D image matching
使用基于模糊 ROI 的 2-D/3-D 图像匹配对 ACL 重建膝关节进行体内运动学分析
- 批准号:
18591681 - 财政年份:2006
- 资助金额:
$ 1.98万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
3 D IMAGE RECONSTRUCTION, GEOMETRY FEATURE EXTRACTION, & GRID GENERATION
3D图像重建、几何特征提取、
- 批准号:
7366497 - 财政年份:2006
- 资助金额:
$ 1.98万 - 项目类别:
3 D IMAGE RECONSTRUCTION, GEOMETRY FEATURE EXTRACTION, & GRID GENERATION
3D图像重建、几何特征提取、
- 批准号:
7182551 - 财政年份:2005
- 资助金额:
$ 1.98万 - 项目类别: