1. A system for creating a dynamic floating window for generating a three-dimensional (3D) stereoscopic image, the system comprising: a sequence input unit to receive an input of left and right image sequences; a feature point extraction unit to extract feature points having a negative disparity value corresponding commonly in the left and right image sequences; a clustering unit to perform clustering and ordering on the extracted feature points, to calculate a transformation amount for the clustering, and to apply temporal consistency; a constraint unit to receive a user command and apply a user constraint; and a dynamic floating window unit to calculate a final transformation amount to which the user constraint is applied, and to create and output left and right dynamic floating windows based on the final transformation amount; wherein the feature point extraction unit calculates a disparity value D for each image by the following Equation, by matching x coordinates of the corresponding feature points of the left image and the right image using a Speeded Up Robust Feature (SURF) algorithm: 
 D =F R −F L wherein D denotes the disparity value for each image, F R denotes the x coordinate of the corresponding feature point of the right image, and F L denotes the x coordinate of the corresponding feature point of the left image, wherein the clustering unit uses a K-mean clustering technique to classify the feature points into left and right clusters by a two-dimensional algorithm.