Object Recognition using Linear Binary Pattern

Object Recognition is wildly used in nowadays. The Local binary Pattern (LBP) is the techniques to analysis the shape, size and colour of Object. LBP uses the Edge Detection Techniques. This Paper presents a little survey on recent used LBP types and techniques along with the edge detection techniques.The transformation of image into grayscale image, then divided image into little blocks are the part of LBP. Nowadays LBP is becoming a popular technique for image representation. DOI: 10.17762/ijritcc2321-8169.150510

Quantized Census for Stereoscopic Image Matching

Current depth capturing devices show serious drawbacks in certain applications, for example ego-centric depth recovery: they are cumbersome, have a high power requirement, and do not portray high resolution at near distance. Stereo-matching techniques are a suitable alternative, but whilst the idea behind these techniques is simple it is well known that recovery of an accurate disparity map by stereo-matching requires overcoming three main problems: occluded regions causing absence of corresponding pixels; existence of noise in the image capturing sensor and inconsistent color and brightness in the captured images. We propose a modified version of the Census-Hamming cost function which allows more robust matching with an emphasis on improving performance under radiometric variations of the input images

An Automatic Image Capturing System Applied to Identification Photo Booth

[[abstract]]Common automatic capturing systems employ text and voice instructions to guide users to capture their identification (ID) photos, however, the capturing results may not conform to the specifications of ID photo. To address this issue, this study proposes an ID photo capturing algorithm that can automatically detect facial contours and adjust the size of capturing images. In the experiments, subjects were seated at various distance and heights for testing the performance of the proposed algorithm. The experimental results show that the proposed algorithm can effectively and accurately capture ID photos that satisfy the required specifications.[[notice]]補正完