4种密集精确深度恢复算法的定量比较

The 2nd Canadian Conference on Computer and Robot Vision (CRV'05) Pub Date : 2005-05-09 DOI:10.1109/CRV.2005.11

Baozhong Tian, J. Barron

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引用次数: 2

摘要

我们报告了从长图像序列中恢复密集深度图的四种算法，其中相机运动是已知的先验。所有方法都使用卡尔曼滤波器来积分强度导数或光流随时间的变化，以提高精度。

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A quantitative comparison of 4 algorithms for recovering dense accurate depth

We report on four algorithms for recovering dense depth maps from long image sequences, where the camera motion is known a priori. All methods use a Kalman filter to integrate intensity derivatives or optical flow over time to increase accuracy.

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来源期刊

The 2nd Canadian Conference on Computer and Robot Vision (CRV'05)

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