Abstract
AbstractPanoramic photography is becoming a very popular and commonly available feature in the mobile handheld devices nowadays. In traditional panoramic photography, the human structure often becomes messy if the human changes position in the scene or during the combination step of the human structure and natural background. In this paper, we present an effective method in panorama creation to maintain the main structure of human in the panorama. In the proposed method, we use an automatic method of feature matching, and the energy map of seam carving is used to avoid the overlapping of human with the natural background. The contributions of this proposal include automated panoramic creation method and it solves the human ghost generation problem in panorama by maintaining the structure of human by energy map. Experimental results prove that the proposed system can be effectively used to compose panoramic photographs and maintain human structure in panorama.
Highlights
Generation of panorama from a set of individual photos has been a useful and attractive research topic within the researches in the domain for several years so far
Ordered frames which are extracted from a panning video sequence have been used as the input making it simple for both shooting and stitching. Going forward another step of panorama generation Wagner Daniel et al [3] presented a method for the real-time creation and tracking of panoramic maps on mobile phones
Most of the current technologies used for panorama generation are targeted for natural landscape capturing
Summary
Generation of panorama from a set of individual photos has been a useful and attractive research topic within the researches in the domain for several years so far. Ordered frames which are extracted from a panning video sequence have been used as the input making it simple for both shooting and stitching Going forward another step of panorama generation Wagner Daniel et al [3] presented a method for the real-time creation and tracking of panoramic maps on mobile phones. Even though panoramic photos can be created using commercially available image processing tools in several steps by appropriately segmenting available human objects and combining relevant background features together from the source frame sets, it is very time consuming manual work and the results are not satisfactory. Presented solution reduce the steps comparing to the manual methods, allowing the user to obtain a panoramic photograph via our panning shooting method in video.
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