通过模型游戏jam和基本视觉人工技术开发软件原型

L. Barba-Guaman, P. Quezada-Sarmiento, C. Calderón-Cordova, Liliana Enciso, Daniel Guamán
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引用次数: 4

摘要

人工视觉是假装模拟人类视觉的人工智能的一部分,即通过智能系统对图像进行采集、处理、分析和解释。这项工作将游戏jam模型下的原型作为软件产品呈现出来。在此背景下,本研究的目的是应用基本的人工视觉算法,如线性判别分析(LDA)、主成分分析(PCA)、fishface、Otsu、CamShift和颜色空间(如RGB和HSV),以便能够对物体进行运动检测、人脸识别和行人检测。作为在快速原型中应用该模型的结果,我们发现了在创建专注于软件开发的原型的创新策略的实施中的重要因素(例如:参与式设计、轻结构、产品价值方法、美学和技术)。
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Development of software prototypes through model game jam and basic vision artificial techniques
The artificial vision is a part of the artificial intelligence that pretends to simulate the human vision, is to say, from the acquisition, processing, analysis and interpretation of images through an intelligent system. This work presents the creation of prototypes under the game jam model as a software product. In this context, the objective of the present work was to apply basic artificial vision algorithms such as linear discriminant analysis (LDA), principal component analysis (PCA), Fisherface, Otsu, CamShift and color spaces such as RGB and HSV in order to be able to motion detection of objects, face recognition and pedestrian detection. As a result of applying this model in rapid prototyping, we found significant factors (such as: participatory design, light construction, product value approach, aesthetics and technology) in the implementation of innovative strategies in creating of prototypes focused on Software development.
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