• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于形状的柔软度和重量:从局部形状特征推断材料属性。

Softness and weight from shape: Material properties inferred from local shape features.

作者信息

Schmidt Filipp, Fleming Roland W, Valsecchi Matteo

机构信息

.

出版信息

J Vis. 2020 Jun 3;20(6):2. doi: 10.1167/jov.20.6.2.

DOI:10.1167/jov.20.6.2
PMID:32492099
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7416911/
Abstract

Object shape is an important cue to material identity and for the estimation of material properties. Shape features can affect material perception at different levels: at a microscale (surface roughness), mesoscale (textures and local object shape), or megascale (global object shape) level. Examples for local shape features include ripples in drapery, clots in viscous liquids, or spiraling creases in twisted objects. Here, we set out to test the role of such shape features on judgments of material properties softness and weight. For this, we created a large number of novel stimuli with varying surface shape features. We show that those features have distinct effects on softness and weight ratings depending on their type, as well as amplitude and frequency, for example, increasing numbers and pointedness of spikes makes objects appear harder and heavier. By also asking participants to name familiar objects, materials, and transformations they associate with our stimuli, we can show that softness and weight judgments do not merely follow from semantic associations between particular stimuli and real-world object shapes. Rather, softness and weight are estimated from surface shape, presumably based on learned heuristics about the relationship between a particular expression of surface features and material properties. In line with this, we show that correlations between perceived softness or weight and surface curvature vary depending on the type of surface feature. We conclude that local shape features have to be considered when testing the effects of shape on the perception of material properties such as softness and weight.

摘要

物体形状是识别材料特性以及估计材料属性的重要线索。形状特征可在不同层面影响材料感知:微观层面(表面粗糙度)、中观层面(纹理和局部物体形状)或宏观层面(整体物体形状)。局部形状特征的例子包括布料上的褶皱、粘性液体中的凝块或扭曲物体上的螺旋形折痕。在此,我们着手测试此类形状特征在材料属性柔软度和重量判断中的作用。为此,我们创建了大量具有不同表面形状特征的新颖刺激物。我们发现,这些特征根据其类型以及幅度和频率,对柔软度和重量评级有不同影响,例如,尖刺数量增加和尖锐程度提高会使物体显得更硬更重。通过让参与者说出与我们的刺激物相关联的熟悉物体、材料和转变,我们可以表明,柔软度和重量判断并非仅仅源于特定刺激物与现实世界物体形状之间的语义关联。相反,柔软度和重量是根据表面形状估计出来的,大概是基于对表面特征的特定表现与材料属性之间关系的习得启发式方法。与此相符的是,我们表明,感知到的柔软度或重量与表面曲率之间的相关性因表面特征类型而异。我们得出结论,在测试形状对诸如柔软度和重量等材料属性感知的影响时,必须考虑局部形状特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d6/7416911/f8906700c882/jovi-20-6-2-f011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d6/7416911/6bf785489a96/jovi-20-6-2-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d6/7416911/4d03ccf889b3/jovi-20-6-2-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d6/7416911/ebde693043e1/jovi-20-6-2-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d6/7416911/12cafed069ba/jovi-20-6-2-f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d6/7416911/7a0bf747dc8b/jovi-20-6-2-f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d6/7416911/362437cefec6/jovi-20-6-2-f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d6/7416911/f618cd0e2770/jovi-20-6-2-f007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d6/7416911/9783c03c1d9a/jovi-20-6-2-f008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d6/7416911/a5c8245a8c6e/jovi-20-6-2-f009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d6/7416911/09bf039bb5d0/jovi-20-6-2-f010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d6/7416911/f8906700c882/jovi-20-6-2-f011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d6/7416911/6bf785489a96/jovi-20-6-2-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d6/7416911/4d03ccf889b3/jovi-20-6-2-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d6/7416911/ebde693043e1/jovi-20-6-2-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d6/7416911/12cafed069ba/jovi-20-6-2-f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d6/7416911/7a0bf747dc8b/jovi-20-6-2-f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d6/7416911/362437cefec6/jovi-20-6-2-f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d6/7416911/f618cd0e2770/jovi-20-6-2-f007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d6/7416911/9783c03c1d9a/jovi-20-6-2-f008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d6/7416911/a5c8245a8c6e/jovi-20-6-2-f009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d6/7416911/09bf039bb5d0/jovi-20-6-2-f010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3d6/7416911/f8906700c882/jovi-20-6-2-f011.jpg

相似文献

1
Softness and weight from shape: Material properties inferred from local shape features.基于形状的柔软度和重量:从局部形状特征推断材料属性。
J Vis. 2020 Jun 3;20(6):2. doi: 10.1167/jov.20.6.2.
2
Visual softness perception can be manipulated through exploratory procedures.视觉柔软度感知可以通过探索性程序进行操控。
Perception. 2024 Oct;53(10):674-687. doi: 10.1177/03010066241261772. Epub 2024 Jul 25.
3
Brain networks underlying tactile softness perception: A functional magnetic resonance imaging study.大脑网络在触觉柔软度感知中的作用:一项功能磁共振成像研究。
Neuroimage. 2019 Aug 15;197:156-166. doi: 10.1016/j.neuroimage.2019.04.044. Epub 2019 Apr 25.
4
Effects of surface reflectance on local second order shape estimation in dynamic scenes.动态场景中表面反射率对局部二阶形状估计的影响。
Vision Res. 2015 Oct;115(Pt B):218-30. doi: 10.1016/j.visres.2015.01.008. Epub 2015 Jan 30.
5
Top-down modulation of shape and roughness discrimination in active touch by covert attention.隐蔽注意对主动触觉中形状和粗糙度辨别能力的自上而下调制。
Atten Percept Psychophys. 2019 Feb;81(2):462-475. doi: 10.3758/s13414-018-1625-5.
6
Concavities, negative parts, and the perception that shapes are complete.凹面、负形以及形状完整性的感知。
J Vis. 2013 Dec 4;13(14):3. doi: 10.1167/13.14.3.
7
Memory influences haptic perception of softness.记忆会影响触觉对柔软度的感知。
Sci Rep. 2019 Oct 7;9(1):14383. doi: 10.1038/s41598-019-50835-4.
8
Transfer of object category knowledge across visual and haptic modalities: experimental and computational studies.物体类别知识在视觉和触觉模态间的迁移:实验和计算研究。
Cognition. 2013 Feb;126(2):135-48. doi: 10.1016/j.cognition.2012.08.005. Epub 2012 Oct 25.
9
Bouba and Kiki inside objects: Sound-shape correspondence for objects with a hole.物体内部的布巴和基基:有孔物体的声音-形状对应关系。
Cognition. 2020 Feb;195:104132. doi: 10.1016/j.cognition.2019.104132. Epub 2019 Nov 11.
10
Inferring the stiffness of unfamiliar objects from optical, shape, and motion cues.从视觉、形状和运动线索推断陌生物体的硬度。
J Vis. 2017 Mar 1;17(3):18. doi: 10.1167/17.3.18.

引用本文的文献

1
The causal future: The influence of shape features caused by external transformation on visual attention.因果未来:外部变形引起的形状特征对视觉注意的影响。
J Vis. 2021 Oct 5;21(11):17. doi: 10.1167/jov.21.11.17.
2
Soft like velvet and shiny like satin: Perceptual material signatures of fabrics depicted in 17th century paintings.如天鹅绒般柔软,似绸缎般光亮:17世纪绘画中描绘的织物的感知材质特征。
J Vis. 2021 May 3;21(5):10. doi: 10.1167/jov.21.5.10.
3
Saccadic adaptation shapes perceived size: Common codes for action and perception.扫视适应塑造感知大小:动作与感知的共同编码。

本文引用的文献

1
Learning to see stuff.学着观察事物。
Curr Opin Behav Sci. 2019 Dec;30:100-108. doi: 10.1016/j.cobeha.2019.07.004.
2
Integration of prior knowledge during haptic exploration depends on information type.触觉探索过程中先验知识的整合取决于信息类型。
J Vis. 2019 Apr 1;19(4):20. doi: 10.1167/19.4.20.
3
Visual perception of shape-transforming processes: 'Shape Scission'.形状变换过程的视觉感知:“形状分裂”。
Atten Percept Psychophys. 2020 Oct;82(7):3676-3685. doi: 10.3758/s13414-020-02102-2.
Cognition. 2019 Aug;189:167-180. doi: 10.1016/j.cognition.2019.04.006. Epub 2019 Apr 12.
4
Getting "fumpered": Classifying objects by what has been done to them.被“搞砸”:根据对物体所做的事情对其进行分类。
J Vis. 2019 Apr 1;19(4):15. doi: 10.1167/19.4.15.
5
Disentangling simultaneous changes of surface and illumination.解析表面和光照的同步变化。
Vision Res. 2019 May;158:173-188. doi: 10.1016/j.visres.2019.02.004. Epub 2019 Mar 21.
6
Seeing through transparent layers.透过透明层观察。
J Vis. 2018 Sep 4;18(9):25. doi: 10.1167/18.9.25.
7
Identifying shape transformations from photographs of real objects.从真实物体的照片中识别形状变换。
PLoS One. 2018 Aug 16;13(8):e0202115. doi: 10.1371/journal.pone.0202115. eCollection 2018.
8
Estimating mechanical properties of cloth from videos using dense motion trajectories: Human psychophysics and machine learning.利用密集运动轨迹从视频中估计布料的机械性能:人类心理物理学与机器学习
J Vis. 2018 May 1;18(5):12. doi: 10.1167/18.5.12.
9
Visual Features in the Perception of Liquids.液体感知中的视觉特征。
Curr Biol. 2018 Feb 5;28(3):452-458.e4. doi: 10.1016/j.cub.2017.12.037. Epub 2018 Jan 27.
10
Shatter and splatter: The contribution of mechanical and optical properties to the perception of soft and hard breaking materials.破碎与飞溅:材料的机械性能和光学性能对软硬易碎材料感知的影响
J Vis. 2018 Jan 1;18(1):14. doi: 10.1167/18.1.14.