Journal of the Korean Institute of Telematics and Electronics (대한전자공학회논문지)
- Volume 27 Issue 8
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- Pages.1275-1283
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- 1990
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- 1016-135X(pISSN)
Segmentation and Classification of Range Data Using Phase Information of Gabor Fiter
Gabor 필터의 위상 정보를 이용한 거리 영상의 분할 및 분류
Abstract
Perception of surfaces from range images plays a key role in 3-D object recognition. Recognition of 3-D objects from range images is performed by matching the perceived surface descriptions with stored object models. The first step of the 3-d object recognition from range images is image segmentation. In this paper, an approach for segmenting 3-D range images into symbolic surface descriptions using spatial Gabor filter is proposed. Since the phase of data has a lot of important information, the phase information with magnitude information can effectively segment the range imagery into regions satisfying a common homogeneity criterion. The phase and magnitude of Gabor filter can represent a unique featur vector at a point of range data. As a result, range images are trnasformed into feature vectors in 3-parameter representation. The methods not only to extract meaningful features but also to classify a patch information from range images is presented.
Keywords