Partial Object Recognition based on Ellipse of Objects using Symmetry in Image Databases
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
This paper discusses the problem of partial object recognition in image databases. We propose the method to reconstruct and estimate partially occluded shapes and regions of objects in images from overlapping and cutting. We present the robust method for recognizing partially occluded objects based on symmetry properties, which is based on an ellipse of objects. Our method provides simple techniques to reconstruct occluded regions via a region copy using the symmetry axis within an object. Since our method relies on reconstruction of the object based on the symmetry rather than statistical estimates, it has proven to be remarkably robust in recognizing partially occluded objects in the presence of scale changes, rotation, and viewpoint changes.
Abstract
This paper discusses the problem of partial object recognition in image databases. We propose the method to reconstruct and estimate partially occluded shapes and regions of objects in images from overlapping and cutting. We present the robust method for recognizing partially occluded objects based on symmetry properties, which is based on an ellipse of objects. Our method provides simple techniques to reconstruct occluded regions via a region copy using the symmetry axis within an object. Since our method relies on reconstruction of the object based on the symmetry rather than statistical estimates, it has proven to be remarkably robust in recognizing partially occluded objects in the presence of scale changes, rotation, and viewpoint changes.
참고문헌 (19)
- H. Bischof, "Robust recognition of scaled eigenimages through a hierachical approach", In IEEE Conference on Computer Vision and Pattern Recognition, pp.664~670 (1998)
- O. Carmichael, "Shape-Based Recognition of Wiry Objects", IEEE Trans. on Pattern Analysis and Machine Intelligence, pp.1537~1552 (2004)
- W. J. Chimitt, "scene re-construction from partially overlapping images using on line filter design", In Proceedings of the SPIE Conference on Storage and Retrieval for Image and Video Databases, pp.171~181 (1998)
- J. Cho, "Object Classification based on the Probabilities of Pre-Assigned Intervals", In IEEE Conference on IKE, pp.49~55 (2004)
- J. Cho, "Feature Extraction for Content-based Image search in Electronic Commerce", 한국정보처리학회 논문지 (2003)
- P. David, "Object Recognition in High Clutter Images Using Line Features", In IEEE International Conference of Computer Vision, pp.1581~1588 (2005)
- J. Edwards, "Appearance matching of occluded objects using coarse-to-fine adaptive masks", In IEEE Conference on Computer Vision and Pattern Recognition, pp.533~539 (1997)
- circle detector using geometric symmetry, "A fast ellipse", pp.1995, Ho
- W. Jacobs, "3-d to 2-d recognition with regions", In IEEE Conference on Computer Vision and Pattern Recognition, pp.547~553 (1997)
- J. Krumm, "Object detection with vector quantized binary features", IEEE Computer Vision and Pattern Recognition, pp.179~185 (1997)
- K. Mikolajczyk, "Shape Recognition with Edge-Based Features", Proc. British Machine Vision Conference, pp.779~788 (2003)
- K. Ohba, "Detectability, uniqueness, and reliability of eigen windows for stable verification of partially occluded objects", IEEE Trans. Pattern Anal. Mach. Intell, pp.1043~1048 (1997)
- N. Rajpal, "Recognition of partially occluded objects using neural network based indexing", pp.1737~1749 (1999), Pattern Recognition
- R. Rao, "Dynamic appearance-based recognition", In IEEE Conference on Computer Vision and Pattern Recognition, pp.540~546 (1997)
- B. Schiele, "Probabilistic Object Recognition and Localization", In International Conference on Computer Vision, pp.171~182 (1999)
- H. Schneiderman, "Probabilistic modeling of local appearance and spatial relationships for object recognition", In IEEE Conference on Computer Vision and PatternRecognition, pp.45~51 (1998)
- L. R. Williams, "Perceptual completion of occluded surfaces. Computer Vision and Image Understanding", 1~20 (1996)
- W. Wu, "Elliptical object detection by using its geometircal properties", Pattern Recognition, pp.1499~1509 (1993)
- H. Yuen, "Detecting partially occluded ellipses using the hough transform", Image and Vision Computing, pp.31~37 (1989)