Revisiting Snodgrass and Vanderwart's Object Pictorial Set: The Role of Surface Detail in Basic-Level Object Recognition

对象(语法) 人工智能 计算机视觉 集合(抽象数据类型) 视觉对象识别的认知神经科学 代表(政治) 计算机科学 彩色视觉 模式识别(心理学) 沟通 心理学 政治学 政治 程序设计语言 法学
作者
Bruno Rossion,Gilles Pourtois
出处
期刊:Perception [SAGE]
卷期号:33 (2): 217-236 被引量:939
标识
DOI:10.1068/p5117
摘要

Theories of object recognition differ to the extent that they consider object representations as being mediated only by the shape of the object, or shape and surface details, if surface details are part of the representation. In particular, it has been suggested that color information may be helpful at recognizing objects only in very special cases, but not during basic-level object recognition in good viewing conditions. In this study, we collected normative data (naming agreement, familiarity, complexity, and imagery judgments) for Snodgrass and Vanderwart's object database of 260 black-and-white line drawings, and then compared the data to exactly the same shapes but with added gray-level texture and surface details (set 2), and color (set 3). Naming latencies were also recorded. Whereas the addition of texture and shading without color only slightly improved naming agreement scores for the objects, the addition of color information unambiguously improved naming accuracy and speeded correct response times. As shown in previous studies, the advantage provided by color was larger for objects with a diagnostic color, and structurally similar shapes, such as fruits and vegetables, but was also observed for man-made objects with and without a single diagnostic color. These observations show that basic-level ‘everyday’ object recognition in normal conditions is facilitated by the presence of color information, and support a ‘shape + surface’ model of object recognition, for which color is an integral part of the object representation. In addition, the new stimuli (sets 2 and 3) and the corresponding normative data provide valuable materials for a wide range of experimental and clinical studies of object recognition.
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
情怀应助灵巧荆采纳,获得10
刚刚
Ll发布了新的文献求助10
刚刚
Peter发布了新的文献求助30
1秒前
1秒前
2秒前
科研韭菜发布了新的文献求助10
2秒前
科研通AI5应助爱学习采纳,获得10
2秒前
科研通AI5应助跳跃的太阳采纳,获得10
2秒前
苏尔琳诺完成签到,获得积分10
2秒前
科研通AI5应助a1oft采纳,获得10
3秒前
3秒前
关关过完成签到,获得积分10
3秒前
呢不辣完成签到,获得积分10
3秒前
3秒前
shi hui应助陈博士采纳,获得10
3秒前
3秒前
糖糖关注了科研通微信公众号
4秒前
4秒前
小恶于完成签到 ,获得积分10
4秒前
科研通AI2S应助落晨采纳,获得10
5秒前
5秒前
6秒前
半颗橙子发布了新的文献求助10
6秒前
小可爱完成签到 ,获得积分10
6秒前
7秒前
8秒前
8秒前
Jiangnj发布了新的文献求助30
8秒前
samantha完成签到,获得积分10
9秒前
9秒前
俎树同完成签到 ,获得积分10
9秒前
Natsu完成签到,获得积分10
9秒前
马保国123发布了新的文献求助10
10秒前
丘比特应助无限的隶采纳,获得10
10秒前
在云里爱与歌完成签到,获得积分10
11秒前
迟大猫应助研究生采纳,获得10
11秒前
可行完成签到,获得积分10
11秒前
11秒前
yuhui完成签到,获得积分10
11秒前
12秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527742
求助须知:如何正确求助?哪些是违规求助? 3107867
关于积分的说明 9286956
捐赠科研通 2805612
什么是DOI,文献DOI怎么找? 1540026
邀请新用户注册赠送积分活动 716884
科研通“疑难数据库(出版商)”最低求助积分说明 709762