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Learned Non-Rigid Object Motion is a View-Invariant Cue to Recognizing Novel Objects

There is evidence that observers use learned object motion to recognize objects. For instance, studies have shown that reversing the learned direction in which a rigid object rotated in depth impaired recognition accuracy. This motion reversal can be achieved by playing animation sequences of moving...

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Autores principales: Chuang, Lewis L., Vuong, Quoc C., Bülthoff, Heinrich H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3357528/
https://www.ncbi.nlm.nih.gov/pubmed/22661939
http://dx.doi.org/10.3389/fncom.2012.00026
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author Chuang, Lewis L.
Vuong, Quoc C.
Bülthoff, Heinrich H.
author_facet Chuang, Lewis L.
Vuong, Quoc C.
Bülthoff, Heinrich H.
author_sort Chuang, Lewis L.
collection PubMed
description There is evidence that observers use learned object motion to recognize objects. For instance, studies have shown that reversing the learned direction in which a rigid object rotated in depth impaired recognition accuracy. This motion reversal can be achieved by playing animation sequences of moving objects in reverse frame order. In the current study, we used this sequence-reversal manipulation to investigate whether observers encode the motion of dynamic objects in visual memory, and whether such dynamic representations are encoded in a way that is dependent on the viewing conditions. Participants first learned dynamic novel objects, presented as animation sequences. Following learning, they were then tested on their ability to recognize these learned objects when their animation sequence was shown in the same sequence order as during learning or in the reverse sequence order. In Experiment 1, we found that non-rigid motion contributed to recognition performance; that is, sequence-reversal decreased sensitivity across different tasks. In subsequent experiments, we tested the recognition of non-rigidly deforming (Experiment 2) and rigidly rotating (Experiment 3) objects across novel viewpoints. Recognition performance was affected by viewpoint changes for both experiments. Learned non-rigid motion continued to contribute to recognition performance and this benefit was the same across all viewpoint changes. By comparison, learned rigid motion did not contribute to recognition performance. These results suggest that non-rigid motion provides a source of information for recognizing dynamic objects, which is not affected by changes to viewpoint.
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spelling pubmed-33575282012-06-01 Learned Non-Rigid Object Motion is a View-Invariant Cue to Recognizing Novel Objects Chuang, Lewis L. Vuong, Quoc C. Bülthoff, Heinrich H. Front Comput Neurosci Neuroscience There is evidence that observers use learned object motion to recognize objects. For instance, studies have shown that reversing the learned direction in which a rigid object rotated in depth impaired recognition accuracy. This motion reversal can be achieved by playing animation sequences of moving objects in reverse frame order. In the current study, we used this sequence-reversal manipulation to investigate whether observers encode the motion of dynamic objects in visual memory, and whether such dynamic representations are encoded in a way that is dependent on the viewing conditions. Participants first learned dynamic novel objects, presented as animation sequences. Following learning, they were then tested on their ability to recognize these learned objects when their animation sequence was shown in the same sequence order as during learning or in the reverse sequence order. In Experiment 1, we found that non-rigid motion contributed to recognition performance; that is, sequence-reversal decreased sensitivity across different tasks. In subsequent experiments, we tested the recognition of non-rigidly deforming (Experiment 2) and rigidly rotating (Experiment 3) objects across novel viewpoints. Recognition performance was affected by viewpoint changes for both experiments. Learned non-rigid motion continued to contribute to recognition performance and this benefit was the same across all viewpoint changes. By comparison, learned rigid motion did not contribute to recognition performance. These results suggest that non-rigid motion provides a source of information for recognizing dynamic objects, which is not affected by changes to viewpoint. Frontiers Research Foundation 2012-05-22 /pmc/articles/PMC3357528/ /pubmed/22661939 http://dx.doi.org/10.3389/fncom.2012.00026 Text en Copyright © 2012 Chuang, Vuong and Bülthoff. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License, which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited.
spellingShingle Neuroscience
Chuang, Lewis L.
Vuong, Quoc C.
Bülthoff, Heinrich H.
Learned Non-Rigid Object Motion is a View-Invariant Cue to Recognizing Novel Objects
title Learned Non-Rigid Object Motion is a View-Invariant Cue to Recognizing Novel Objects
title_full Learned Non-Rigid Object Motion is a View-Invariant Cue to Recognizing Novel Objects
title_fullStr Learned Non-Rigid Object Motion is a View-Invariant Cue to Recognizing Novel Objects
title_full_unstemmed Learned Non-Rigid Object Motion is a View-Invariant Cue to Recognizing Novel Objects
title_short Learned Non-Rigid Object Motion is a View-Invariant Cue to Recognizing Novel Objects
title_sort learned non-rigid object motion is a view-invariant cue to recognizing novel objects
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3357528/
https://www.ncbi.nlm.nih.gov/pubmed/22661939
http://dx.doi.org/10.3389/fncom.2012.00026
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