Abstract:
The researcher have suggested real time depth based on frequency
domain hole filling. It get better quality of depth sequence generated by
sensor. This method is capable to produce high feature depth video which
can be quite useful in improving the performance of various applications
of Microsoft Kinect such as obstacle detection and avoidance, facial
tracking, gesture recognition, pose estimation and skeletal. For stereo
matching approach images depth extraction is the hybrid (Combination
of Morphological Operation) mathematical algorithm. There are few step
like 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 nonlinear spatial filtering. Our algorithm is produce smooth,
reliable, noise less and efficient depth map. The evaluation parameter
such as Structure Similarity Index Map (SSIM), Peak Signal to Noise
Ratio (PSNR) and Mean Square Error (MSE) measure the results for
proportional analysis.
Description:
The authors wish to express their gratitude to
the Principal and Dean, College of Agricultural
Engineering and Technology, Junagadh Agricultural
University, Junagadh India for providing valuable
guidance and other facilities for preparation of this
manuscript.
