CVFeb 24, 2016

On the Accuracy of Point Localisation in a Circular Camera-Array

arXiv:1602.07542v13 citations
Originality Incremental advance
AI Analysis

This provides fundamental performance limits for multi-camera systems, which is incremental as it builds on existing light-field and camera-array processing.

The paper tackles the problem of analyzing point localization accuracy in circular camera arrays by introducing a frame-quantization perspective, resulting in closed-form expressions that bound the localization error based on acquisition parameters.

Although many advances have been made in light-field and camera-array image processing, there is still a lack of thorough analysis of the localisation accuracy of different multi-camera systems. By considering the problem from a frame-quantisation perspective, we are able to quantify the point localisation error of circular camera configurations. Specifically, we obtain closed form expressions bounding the localisation error in terms of the parameters describing the acquisition setup. These theoretical results are independent of the localisation algorithm and thus provide fundamental limits on performance. Furthermore, the new frame-quantisation perspective is general enough to be extended to more complex camera configurations.

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