Information permeability for stereo matching

Image-Guided Non-Local Dense Matching With Three-Steps Optimization

“…Large windows take more time for cost aggregation while small windows perform badly in textureless areas. In order to avoid the window definition, the non-local methods, which are based on recursion, were proposed (Yang, 2015;Pham and Jeon, 2013;Cigla and Alantan, 2013;Sun et al, 2014;Cheng et al, 2015), which differed from the local methods in that the cost aggregation of every pixel is supported by the remaining pixels in the whole image for non-local methods. The supports from the remaining pixels depend on the intensity similarity and the cost aggregation path.…”

“…In recent years, several image-guided non-local methods were proposed, of which the basic mathematic models are consistent essentially (Yang, 2015;Pham and Jeon, 2013;Cigla and Alantan, 2013;Sun et al, 2014;Cheng et al, 2015):…”

“…In fact, it is impossible that the intensities of pixels in the same region are exactly the same. In order to strengthen the cost propagation in homogenous intensity regions, traditional methods choose a larger  (  =15~25) to acquire a larger T (Yang, 2015;Pham and Jeon, 2013;Cigla and Alantan, 2013;Sun et al, 2014;Cheng et al, 2015). However, when the cost is propagated between two different regions, T may remain large with a large  , which may bring mismatches in the depth discontinuities.…”

“…A good cost aggregation path should be connected. Most non-local methods define paths through horizontal/vertical scanlines (Pham and Jeon, 2013;Cigla and Alantan, 2013;Sun et al, 2014;Cheng et al, 2015). However, the path, which is described by horizontal/vertical scanlines, may be unconnected even though the beginning and the end belong to the same region, as shown in Figure 3.…”

“…The disparities in Rectangle 2 changed smoothly. Figure 7(b) is the result of the traditional non-local method (Cigla and Alantan, 2013). Figure 7(c) is the result of the proposed method.…”