Abstract:
The main target of stereo matching algorithms
is to find out the three dimensional (3D) distance, or
depth of objects from a stereo pair of images. Depth
information can be derived from images using disparity
map of the same scene. There are many applications of
computer vision like People tracking, Gesture recognition,
Industrial automation and inspection, Security and
Biometrics, Three-dimensional modeling, Web and Cloud,
Aerial surveys etc. There are large categories of stereo
algorithms which are used for finding the disparity or
depth. This paper presents a proposed stereo matching
algorithm to obtain depth map, enhance and measure. The
hybrid mathematical process of the algorithm are color
conversion, block matching, guided filtering, Minimum
disparity assignment design, mathematical perimeter,
zero depth assignment, combination of hole filling and
permutation of morphological operator and last non linear
spatial filtering. Our algorithm is produce noise less,
reliable, smooth and efficient depth map. We obtained the
results with ground truth image using Structural
Similarity Index Map (SSIM) and Peak Signal to Noise
Ratio (PSNR).
Description:
The authors wish to express their gratitude to the
Director, PG Studies & Research, C. U. Shah University,
Wadhwan, India for providing valuable guidance and
other facilities for preparation of this manuscript.
