TY - GEN
T1 - Investigation of using the local directional pattern for stereo corresponding problem
AU - Dahan, Fadl
AU - Al-Mutib, Khalid
AU - Alsulaiman, Mansour
AU - Faisal, Mohammed
AU - Hedjar, Ramdane
N1 - Publisher Copyright:
© 2014 CSREA Press.
PY - 2014
Y1 - 2014
N2 - Despite the significant success of using local feature descriptor with many applications such as, face detection, human facial expression recognition, gender classification, signature verification, etc. Based on our knowledge, there is no research present on the usage of the descriptor to solve the stereo corresponding problem. Despite this, descriptor uses the same methodology for comparing the images blocks. In this paper, we developed a new method to solve the stereo vision corresponding problems by using the Local Directional Pattern (LDP). The proposed method encodes the input images using LDP encoder, then for generating depth map, we use block-matching algorithm but we change distance measurement (chi-square) instead of similarity measurements to compare the blocks code histogram. The proposed method shows promising results comparing with other methods on testing images benchmark.
AB - Despite the significant success of using local feature descriptor with many applications such as, face detection, human facial expression recognition, gender classification, signature verification, etc. Based on our knowledge, there is no research present on the usage of the descriptor to solve the stereo corresponding problem. Despite this, descriptor uses the same methodology for comparing the images blocks. In this paper, we developed a new method to solve the stereo vision corresponding problems by using the Local Directional Pattern (LDP). The proposed method encodes the input images using LDP encoder, then for generating depth map, we use block-matching algorithm but we change distance measurement (chi-square) instead of similarity measurements to compare the blocks code histogram. The proposed method shows promising results comparing with other methods on testing images benchmark.
KW - Block matching
KW - Depth map
KW - Local directional pattern (LDP)
KW - Local feature descriptor
KW - Stereo corresponding
UR - http://www.scopus.com/inward/record.url?scp=85072832354&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85072832354
T3 - Proceedings of the 2014 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2014
SP - 534
EP - 541
BT - Proceedings of the 2014 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2014
A2 - Arabnia, Hamid R.
A2 - Deligiannidis, Leonidas
A2 - Lu, Joan
A2 - Tinetti, Fernando G.
A2 - You, Jane
A2 - Jandieri, George
A2 - Schaefer, Gerald
A2 - Solo, Ashu M. G.
PB - CSREA Press
T2 - 2014 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2014, at WORLDCOMP 2014
Y2 - 21 July 2014 through 24 July 2014
ER -