gaqcitizen.blogg.se - Microsoft autocollage for mac

Microsoft PowerPoint (available for PC and Mac)Īdobe Photoshop and Photoshop Elements (available for PC and Mac)

Other Software Options for Creating Photo Collages:

Microsoft AutoCollage (available for PC) download link (free for educators) | how to page Picasa (available for PC and Mac) download link | how to page Click on the following links for more information about using these programs: Picasa and Microsoft AutoCollage are two downloadable software applications that can be used to create collages from digital images you have taken with a camera or downloaded from the web. Photo collages also make great introductory slides which may be used to begin a digital story.Ĭlick on the thumbnails below to view photo collages created with the following programs:ĪutoCollage Picasa Photoshop AutoCollage PowerPoint Picasa 1 The software was developed by Microsoft Research labs in Cambridge, England and launched on September 4, 2008. It is able to detect faces and recognize objects. The software creates a collage of representative elements from a set of images. A photo collage is a great option when you have several low-resolution pictures that may not look good when shown alone, because the collage can be created and saved as a single higher-resolution image. AutoCollage 2008 is a Microsoftphotomontagedesktop application. To illustrate the power of AutoCollage, we have used it to create collages of many home photo sets we also conducted a user study in which AutoCollage outperformed competitive methods.Using a photo collage that combines multiple pictures into a single composite image is a great way to add interest to a digital story. Rather than attempt an expensive, integrated optimization procedure, we have developed a sequence of optimization steps, from static ranking of images, through region of interest optimization, optimal packing by constraint satisfaction, and lastly graph-cut alpha-expansion. Secondly the resulting optimization poses a search problem that, on the face of it, is computationally infeasible. Firstly, we show how energy terms can be included that: encourage the selection of a representative set of images that are sensitive to particular object classes that encourage a spatially efficient and seamless layout. This paper makes several new contributions. It is also assembled largely seamlessly, using graph-cut, Poisson blending of alpha-masks, to hide the joins between input images. The aim is that the resulting collage should be representative of the collection, summarising its main themes. The paper defines an automatic procedure for constructing a visually appealing collage from a collection of input images.