DocumentCode
1748627
Title
Selecting objects with freehand sketches
Author
Tan, Kar-Han ; Ahuja, Narendra
Author_Institution
Dept. of Comput. Sci., Illinois Univ., Urbana, IL, USA
Volume
1
fYear
2001
fDate
2001
Firstpage
337
Abstract
We present in this paper the design of an interactive tool for selecting objects using simple freehand sketches. The objective is to extract object boundaries precisely while requiring little skill and time from the user. The tool proposed achieves this objective by integrating user input and image computation in a two-phase algorithm. In the first phase, the input sketch is used along with a coarse global segmentation of the image to derive an initial selection and a triangulation of the region around the boundary. The triangles are used to formulate subproblems of local finer-grained segmentation and selection. Each of the subproblems is processed independently in the second phase, where a linear approximation of the local boundary as well as a local, finer-grained segmentation are computed. The approximate boundary is then used with the local segmentation to compute a final selection, represented with an alpha channel to fully capture diffused object boundaries. Experimental results show that the tool allows very simple sketches to be used to select objects with complex boundaries. Therefore, the tool has immediate applications in graphics systems for image editing, manipulation, synthesis, retrieval and processing
Keywords
computer vision; image segmentation; object detection; coarse global segmentation; finer-grained segmentation; freehand sketches; image computation; image editing; interactive tool; linear approximation; object boundaries; objects selection; two-phase algorithm; user input; Computer science; Content based retrieval; Cranes; Digital images; Graphics; Handheld computers; Image retrieval; Image segmentation; Linear approximation; TV broadcasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7695-1143-0
Type
conf
DOI
10.1109/ICCV.2001.937538
Filename
937538
Link To Document