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The estimation of human age from face images is an interesting problem in computer vision. We proposed a general distance metric learning scheme for regression problems, which utilizes not only data themselves, but also their corresponding labels to strengthen the credibility of distances. This metric could be learned by solving an optimization problem. Furthermore, the test data could be projected to this metric by a simple linear transformation and it is feasible to be combined with manifolddoi:10.1109/cgiv.2009.91 dblp:conf/IEEEcgiv/Long09 fatcat:nsqabxb4tjbqtoanqlpi6mipwy