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首页> 外文期刊>IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics >Superresolution modeling using an omnidirectional image sensor
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Superresolution modeling using an omnidirectional image sensor

机译：使用全向图像传感器的超分辨率建模

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Recently, many virtual reality and robotics applications have been called on to create virtual environments from real scenes. A catadioptric omnidirectional image sensor composed of a convex mirror can simultaneously observe a 360-degree field of view making it useful for modeling man-made environments such as rooms, corridors, and buildings, because any landmarks around the sensor can be taken in and tracked in its large field of view. However, the angular resolution of the omnidirectional image is low because of the large field of view captured. Hence, the resolution of surface texture patterns on the three-dimensional (3-D) scene model generated is not sufficient for monitoring details. To overcome this, we propose a high resolution scene texture generation method that combines an omnidirectional image sequence using image mosaic and superresolution techniques.
机译：最近，许多虚拟现实和机器人技术应用程序已被要求从真实场景创建虚拟环境。由凸面镜组成的折反射式全向图像传感器可以同时观察360度视场，因此对于建模人造环境（例如房间，走廊和建筑物）非常有用，因为可以获取并跟踪传感器周围的所有地标在其大视野中。但是，由于捕获的视野较大，全向图像的角分辨率较低。因此，在生成的三维（3-D）场景模型上表面纹理图案的分辨率不足以监视细节。为了克服这个问题，我们提出了一种高分辨率场景纹理生成方法，该方法结合了使用图像镶嵌和超分辨率技术的全向图像序列。

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