Object Recognition Under Distorted Prosthetic Vision

Hong Guo; Youmin Wang; Yuan Yang; Shanbao Tong; Yisheng Zhu; Yihong Qiu

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Object Recognition Under Distorted Prosthetic Vision

机译：变形假肢视觉下的物体识别

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Psychophysical studies have reported the efficacy of phosphene-based prosthetic vision in partly recovering the visual function of blind individuals. However, results by far have been based on evenly aligned phosphene arrays, which neglected the complicated visuotopy in the visual prosthesis system. In this study, we investigated how the objects were recognized under the stimuli with distorted phosphene arrays simulated by transformations of barrel distortion, rotation, or translation. The results revealed that distortions significantly decreased the accuracy of categorization (CA) and showed distinct interactive effects with the factors of object category and phosphene array density. Moreover, the CA changed differently with the increase of distortion levels. Regression analysis suggested a phosphene array of at least 10 × 10 be the essential for achieving a CA over the threshold value (CA_t = 62.5%) under distorted prosthetic vision. It is recommended that discriminative features be extracted to improve the performance of prosthetic vision.

机译：心理物理研究报告了基于磷的假肢视觉在部分恢复盲人视觉功能方面的功效。然而，到目前为止，结果是基于均匀排列的磷化氢阵列，而忽略了视觉假体系统中复杂的视觉化。在这项研究中，我们研究了如何通过桶形失真，旋转或平移转换模拟的扭曲的磷烯阵列在刺激下识别物体。结果表明，变形显着降低了分类（CA）的准确性，并显示出与对象类别和阵列密度有关的独特交互作用。而且，CA随失真水平的增加而有所不同。回归分析表明，在假肢视觉失真的情况下，至少要达到10×10的磷化氢阵列才能使CA超过阈值（CA / sub> = 62.5％）。建议提取鉴别特征以改善假肢视觉的性能。

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来源
《Artificial Organs》 |2010年第10期|p.846-856|共11页
作者
Hong Guo; Youmin Wang; Yuan Yang; Shanbao Tong; Yisheng Zhu; Yihong Qiu;
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作者单位

Biomedical Engineering;

Electrical and Electronics Engineering;

and;

Biomedical Engineering;

Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, China;

Biomedical Engineering;

Biomedical Engineering;

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正文语种 eng
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关键词
Object categorization; Visual prosthesis; Prosthetic vision; Distortion; Psychophysics;

机译：对象分类;视觉假体;修复视觉;畸变;心理物理学;

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专利

1. Object recognition under distorted prosthetic vision. [J] . Guo H, Wang Y, Yang Y, Artificial Organs . 2010,第10期

机译：假肢视觉失真下的物体识别。
2. Image processing strategies based on saliency segmentation for object recognition under simulated prosthetic vision [J] . Li Heng, Su Xiaofan, Wang Jing, Artificial intelligence in medicine . 2018,第JANa期

机译：人工视觉下基于显着性分割的目标识别图像处理策略
3. Motion parallax improves recognition of fixated object with cluttered background in simulated prosthetic vision [J] . Lee Kassandra R., Qiu Cheng, Jung Jae-Hyun, Investigative ophthalmology & visual science . 2018,第9期

机译：动作视差改善了模拟假角杂志中杂乱背景的固定对象的识别
4. Object recognition based on a foreground extraction method under simulated prosthetic vision [C] . Han Tingting, Li Heng, Lyu Qing, . 2015

机译：假肢视觉下基于前景提取方法的目标识别
5. Feature representation for generic object detection and recognition: Computer vision and human vision [D] . Zhang, Wei 2008

机译：通用对象检测和识别的特征表示：计算机视觉和人类视觉
6. Motion Parallax Improves Object Recognition in the Presence of Clutter in Simulated Prosthetic Vision [O] . Cheng Qiu, Kassandra R. Lee, Jae-Hyun Jung, -1

机译：运动视差在模拟假肢视觉中存在杂波的情况下改善了对象识别
7. 3-D image recognition and grasping planning expert system for distorted and cracked objects. (1st report, 3-D image recognition method for distorted and cracked objects). [O] . Toshio FUKUDA, Osamu HASEGAWA 1990

机译：三维图像识别和抓取规划专家系统，用于扭曲和破裂对象。（第一个报告，三维图像识别方法，用于扭曲和破裂对象）。
8. Role of Object-Specific Features for Real World Object Recognition in Biological Vision [R] . Serre, T. , Riesenhuber, M. , Louie, J. , 2006

机译：物体特征在生物视觉中的真实世界物体识别中的作用

Object Recognition Under Distorted Prosthetic Vision

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