Sentence examples for cost aggregation methods from inspiring English sources

They found that cost aggregation methods using adaptive weights are among the most accurate.

Existing cost aggregation methods differ mainly in the choice of K.

Then, we analyze why existing pixel-intensity-based cost aggregation methods are not suitable for feature vectors.

Tombari et al. [22] and Gong et al. [23] have evaluated many cost aggregation methods in a Winner-Takes-All framework, considering both matching accuracy and execution speed.

One important reason that the state-of-the-art cost aggregation methods can work very fast is that the similarity kernels can be computed very efficiently, with simple arithmetic operations mostly.

More recently, Zhang et al. showed that the different cost aggregation methods essentially differ in the choice of similarity kernels and can be reformulated in a unified optimization framework [19].

The matching cost is then combined with a cross-based cost aggregation method.

Inspired by this work, Mei et al. introduced a segment-tree-based cost aggregation method [18].

In this paper, we propose a local cost aggregation method that operates on feature vectors.

Finally, we compare the performance of the proposed cost aggregation method with two benchmark methods on two datasets in Section 3.5.

In [17], Yang developed a Minimum-Spanning-Tree-based cost aggregation method, which avoids the local optimality caused by manually specifying the size of the support window.