For this method belongs to monocular vision, it avoids the unefficient problems of the correspondence of stereoscopic vision feature point.
由于该方法属于单眼视觉,避开了目前仍未能有效解决的立体视觉特征点对应性的问题。
To do that we can strip out everything that isn't essential to the vision, even if it's part of the minimum feature set needed to deliver a commodity or protect the differentiator.
为了达到这个目的,我们可以先拿掉与愿景实质上不想干的东西,即时它是发布商品或者保护差异的最小特性集的一部分。
In the same way, we try to minimise the backlog of stories, scenarios, examples and code which haven't yet been added to a working feature and thence to the vision.
用同样的方法,我们努力减少那些没有添加到可工作的特性集和愿景上的用户故事、场景、示例和代码。
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