Local feature detectors are playing important role in many computer vision applications. There are number of measures for evaluating the efficiency of local feature detectors. This paper provides a performance evaluation of feature detectors and compares their efficiency in detection of repetitive pattern accurately in relief and façade images. Detection of repetitive patterns become a more challenging task in pattern recognition as well as in computer vision. Accuracy of segmentation of repeating patterns depends on accurate feature detection and matching. In application like 3D reconstruction and image retrieval detection of repetitive structure helps in various ways. Feature detection and pairwise feature matching are the initial steps in the detection of repetitive patterns found in relief and façade images. This paper gives an accurate keypoint detector which makes the detection and segmentation of repetitive patterns easier and robust. Here comparison is done on images using c/c++ language and opencv library. © Research India Publications.
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N. Francis and Dr. Venkataraman D., “Evaluation of local detectors in detection of repetitive patterns in relief and facade images”, International Journal of Applied Engineering Research, vol. 10, pp. 400-404, 2015.