A Line-Based Adaptive-Weight Matching Algorithm Using Loopy Belief Propagation

Table 3

Quantitative evaluation results for Middlebury benchmark.

Algorithm	Tsukuba			Venus			Teddy			Cones
	Nonocc	All	Disc	Nonocc	All	Disc	Nonocc	All	Disc	Nonocc	All	Disc
AdaptingBP	1.1122	1.379	5.7924	0.104	0.217	1.448	4.2217	7.0615	11.818	2.4822	7.9228	7.3227
CoopRegion [14]	0.875	1.162	4.614	0.115	0.215	1.5414	5.1630	8.3120	13.025	2.7939	7.1814	8.0147
Our algorithm	0.898	1.5923	4.789	0.115	0.3624	1.4911	4.3318	9.9332	11.217	2.8141	8.4645	7.8540
RDP [15]	0.9711	1.3911	5.0011	0.2139	0.3829	1.8924	4.8422	9.9433	12.622	2.5325	7.6920	7.3828
MultiRBF [16]	1.3347	1.5620	6.0232	0.1311	0.172	1.8421	5.0928	6.368	13.429	2.9048	6.768	7.1024