The paper presents a method for synthesizing novel view from the virtual camera with trinocular camera configuration. We propose a cost aggregation method with weighted least square for stereo matching, and address the occlusion problem by using cost functions computed with multiview images. We avoid the redundancy of estimating disparity maps for all the images by using simple geometry transfer method. The novel view is synthesized by view-dependent geometries on the 3D translation of virtual camera. Experimental results show that the proposed method yields the accurate disparity maps and the synthesized novel view is satisfactory enough to provide a viewer freeview videos.