A robust view selection algorithm for multiview stereo matching is presented. Different from the existent view selection algorithms which pick only the believable views for matching, this method assigns an adaptive weight to each target view based on the dissimilarity between it and the reference view. So it can utilize the information of all views more sufficiently. The algorithm has been evaluated with different real images to demonstrate its robustness.