个体识别以一种特定的方式与视点无关的人脸识别相关联。

IF 3.5
Proceedings. Biological sciences Pub Date : 2025-10-01 Epub Date: 2025-10-08 DOI:10.1098/rspb.2025.2045
Elizabeth A Tibbetts, Chloe Weise, Juanita Pardo-Sanchez, An Na Vi
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引用次数: 0

摘要

识别三维信号(如人脸)可能具有挑战性,因为从不同的角度看,信号会出现不同。一个简单的解决方案是始终从特定的角度来看待信号。一种更灵活但也更具认知挑战性的解决方案是视点独立识别,即接收器可以从多个视角识别信号。在此,我们使用相同/不同概念学习来测试两种具有三维视觉信号的Polistes纸蜂对同种和异种面孔的视点独立识别。fuscatus使用相同的面部模式来识别个体,而P. dominula使用相同的面部模式作为战斗能力的信号。先前的研究表明,fuscatus能够通过外推来识别相同面孔的新观点。在这里,我们表明,fuscatus和P. dominula在他们的能力不同的观点独立识别。fuscatus对P. fuscatus和P. dominula的面部都表现出独立于视点的识别。相比之下,树胶不具有视点独立识别同质或异质面孔。这些结果表明,通过外推的视点独立识别可能是一种自适应策略,可以促进跨广泛分类群的个体人脸识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Individual recognition is associated with viewpoint-independent face recognition in a species-specific way.

Identifying three-dimensional signals (e.g. faces) can be challenging because the signals appear different when seen from different viewpoints. One simple solution is to always view signals from a particular viewpoint. A more flexible but also more cognitively challenging solution is viewpoint-independent recognition, where receivers can identify signals from multiple viewing angles. Here, we use same/different concept learning to test viewpoint-independent recognition for conspecific and heterospecific faces in two species of Polistes paper wasps that have three-dimensional visual signals. P. fuscatus use conspecific facial patterns for individual recognition, while P. dominula use conspecific facial patterns as a signal of fighting ability. Previous work has shown that P. fuscatus are able to identify novel viewpoints of conspecific faces through extrapolation. Here, we show that P. fuscatus and P. dominula differ in their capacity for viewpoint-independent recognition. P. fuscatus exhibit viewpoint-independent recognition for both P. fuscatus and P. dominula faces. In contrast, P. dominula do not have viewpoint-independent recognition for conspecific or heterospecific faces. These results suggest that viewpoint-independent recognition through extrapolation may be an adaptive strategy to facilitate individual face recognition across a wide range of taxa.

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