I. We discuss the matching results between hand-held camera frames and Kinect frames
generated by using SIFT.
。 More features may need to be included to improve the accuracy of matching 2 frames taken from
hand-held camera as well as Kinect.
II. Additional pre-processing step to improve the accuracy of the matching results is considered.
。Stitching several Kinect frames taken under different perspective in order to maintain a panorama view (2D plane-like outcome is the the first step; 3D sphere-like one is the second step)
。We are able to match a hand-held camera frame to this panorama view at the right location (which
means the field of view in part of the panorama view contains most of information similar to the
hand-held camera frame, including similar perspective and items within the image)
III. Keep find useful features and combine with the SIFT features to achieve higher accurate
matching between frames taken from hand-held camera as well as Kinect.
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