1. A method for predicting stereoscopic depth, comprising: capturing object images of a target scene; generating a stereoscopic depth image associated with the object images; identifying a no-depth-data region in the stereoscopic depth image; identifying a depth-data region correlated to the no-depth-data region; and assigning a depth data to the no-depth-data region based on a depth data of the depth-data region correlated to the no-depth-data region; wherein identifying the depth-data region correlated to the no-depth-data region comprises: categorizing the object image of the target scene into a plurality of categorized pixel blocks based on image characteristics in the object image; and searching through the plurality of categorized pixel blocks to identify a first pixel block associated with a no-depth-data region; and wherein the plurality of categorized pixel blocks are categorized based on one or a combination of image characteristics selected from color, grey scale, texture, contour, and shape.