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Generating complete depth maps in passive vision systems

机译:在被动视觉系统中生成完整的深度图

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The authors describe a hybrid system which uses multiple depth resources, rule-based depth interpolation and predictive rendering to generate accurate and dense depth maps. Initial depth estimates are obtained from multiple views (shape-from-generalised-stereo) and by shape-from-focus. The resultant sparse depth maps are then interpolated symbolically. The interpolated depth map for each region is corrected by inverse rendering. It is shown that nontrivial integration of depth resources reduces many of the problems normally associated with considering each depth resource individually.
机译:作者描述了一种混合系统,该系统使用多个深度资源,基于规则的深度插值和预测渲染来生成准确且密集的深度图。初始深度估计值是从多个视图(广义立体形状)和焦点形状获得的。然后对所得的稀疏深度图进行符号插值。通过逆渲染校正每个区域的内插深度图。结果表明,深度资源的非平凡整合减少了通常与单独考虑每个深度资源相关联的许多问题。

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