Abstract: Aiming at the difficulties during stereo matching of weak-texture-object in binocular stereo vision system, a constrained random coding image generation algorithm is proposed for enhancement of texture quality. Firstly,according to the search strategy of stereo matching algorithm and calculation method of cost aggregation, the pixel coding rules of the projected image are designed, and the calculation method under local uniqueness constraint of projection and target hybrid image position pixels is established to form a high-intensity texture distribution image. The constrained random coded image generated by the algorithm is projected onto the surface of air baggage, the 3D reconstruction of air baggage surface is performed by stereo matching algorithm, and the reconstruction result is evaluated. The reconstruction experimental results of standard parts and actual baggage show that the proposed algorithm can accurately and reliably model the air baggage with solid color or weak texture features.

Key words: color:#000000, font-family:", sans serif", ,tahoma,verdana,helvetica, font-size:12px, font-style:normal, font-weight:400, line-height:18px, text-decoration:none, ">weak-texture-object, constrained random coding algorithm, high intensity color:#000000, font-family:", sans serif", ,tahoma,verdana,helvetica, font-size:12px, font-style:normal, font-weight:400, line-height:18px, text-decoration:none, ">texture distribution, stereo matching, 3D reconstructioncolor:#000000, font-family:", sans serif", ,tahoma,verdana,helvetica, font-size:12px, font-style:normal, font-weight:400, line-height:18px, text-decoration:none, ">, color:#000000, font-family:", sans serif", ,tahoma,verdana,helvetica, font-size:12px, font-style:normal, font-weight:400, line-height:18px, text-decoration:none, ">self check-in system with baggage