Adjusting perspective and disparity in stereoscopic image pairs

A non-transitory computer-readable medium having instructions store thereon that upon execution by a computing device cause the computing device to perform a method comprising:

• receiving a stereoscopic image pair representing a scene;
• identifying range information associated with the stereoscopic image pair, wherein the range information includes distances of pixels in the scene from a reference location;
• generating a cluster map based at least upon an analysis of the range information using a clustering algorithm, wherein the cluster map groups pixels of the stereoscopic images by distances from a viewpoint;
• identifying objects and background in the stereoscopic image pair based at least upon an analysis of the cluster map and the stereoscopic image pair, wherein the analysis of the cluster map and the stereoscopic image pair includes:
• identifying edges in the stereoscopic image pair:
• and
• refining pixel groupings in the cluster map by comparing the identified edges with borders of the pixel groupings and removing pixels that are outside of the identified edges from the pixel groupings:
• generating a new stereoscopic image pair by adjusting perspective and disparity for at least one of the identified objects or the background in the stereoscopic image pair, wherein the adjusting occurs based at least upon the range information:
• and
• storing the new stereoscopic image pair in a processor-accessible memory system.

A system comprising:

• a data processing system;
• and
• a memory system communicatively connected to the data processing system and storing instructions configured to cause the data processing system to implement a method for adjusting perspective and disparity in a stereoscopic image pair, wherein the instructions comprise:
• instructions to receive the stereoscopic image pair representing a scene;
• identifying instructions to identify range information associated with the stereoscopic image pair, wherein the range information includes distances of pixels in the scene from a reference location;
• instructions to generate a cluster map based at least upon an analysis of the range information using a clustering algorithm, wherein the cluster map groups pixels of the stereoscopic images by distances from a viewpoint;
• instructions to identify objects and background in the stereoscopic image pair based at least upon an analysis of the cluster map and the stereoscopic image pair, wherein the analysis of the cluster map and the stereoscopic image pair includes:
• identifying edges in the stereoscopic pair;
• and
• refining the pixel groupings in the cluster map by comparing the identified edges with borders of the pixel groupings and removing pixels that are outside of the identified edges from the pixel groupings;
• instructions to generate a new stereoscopic image pair by adjusting perspective and disparity for at least one of the identified objects or the background in the stereoscopic image pair, wherein the adjusting is based at least upon the range information;
• and
• instructions to store the new stereoscopic image pair in a processor-accessible memory system.