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With the developments of dual-lens camera modules,depth informationrepresenting the third dimension of thecaptured scenes becomes available forsmartphones. It isestimated by stereo matching algorithms, taking as inputthetwo views captured by dual-lens cameras at slightly differ-ent viewpoints.Depth-of-field rendering (also be referred toas synthetic defocus or bokeh) isone of the trending depth-based applications. However, to achieve fast depthestima-tion on smartphones, the stereo pairs need to be rectified inthe firstplace. In this paper, we propose a cost-effective so-lution to perform stereorectification for dual-lens camerascalled direct self-rectification, short forDSR1. It removesthe need of individual offline calibration for every pairofdual-lens cameras. In addition, the proposed solution isrobust to the slightmovements, e.g., due to collisions, ofthe dual-lens cameras after fabrication.Different with ex-isting self-rectification approaches, our approachcomputesthe homography in a novel way with zero geometric distor-tionsintroduced to the master image. It is achieved by di-rectly minimizing thevertical displacements of correspond-ing points between the original masterimage and the trans-formed slave image. Our method is evaluated on bothreal-istic and synthetic stereo image pairs, and produces supe-rior resultscompared to the calibrated rectification or otherself-rectification approaches

DSR: Direct Self-rectification for Uncalibrated Dual-lens Cameras