Real-Time Panorama Shooting Using Cell Phone Camera

Take a short video clip by panning your cell phone camera through a scene, the embedded algorithm wil automatically generate a panoramic picture for you instantly. This is a new cell phone photography feature in Sharp cell phones (e.g. SH9020C model).

This feature is called “VIVID Panorama” co-developed by Acrodea, Inc. and Morpho, Inc., Japan. In contrast to previous panoramic functions, such as iPhone applications, PanaLab and TripStitch, which stitch multiple still images into a panoramic photo, VIVID Panorama directly uses captured video clip to generate a panoramic picture, making it easy-to-use. It is fully automated and in real time.  

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More iPhone Apps Using Computer Vision and Image Processing Technology

Since our previous post, Mobile Vision: iPhone Apps Employ Computer Vision and Image Processing Techs, more iPhone applications using computer vision and image processing technology have come out. Here we review two more apps.

  1. SnapTell: Tell the price, store, or online website of a CD/DVD/Book/Video Game with a photographed cover image. This is an image retrieval/recognition problem.
  2. CubeCheater: Solve your puzzle cube with six pictures taken for each face of the cube. It uses image segmentation and blob detection technology.

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Virtual Makeover: Try Makeups Online Using Your Photos Before Purchase

Taaz.com is virtual makeover website for women, using the state-of-the-art computer vision (facial recognition) and graphics (image based rendering) technology.

You can upload your picture online, and sample hundreds of the most popular hairstyles (e.g., used by celebrities) and makeups, to see the makeover results instantly. Using the designed online makeup tool, you can easily select the brand (e.g., Chanel, Clinique, etc.), and color of the makeups for your face (foundation, concealer, brush), eyes (shadow, linear, lashes, and contacts), lips (lipstick, liner, gloss) and hair styles (bangs, bob, curly, etc.)

   

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Google and Microsoft Image Search by Content

Image search is going to an era of search-by-content (such as color, shape, texture, style, objects, etc) instead of search-by-text-context, as described in one of our previous posts, Visual Search Engines: The Future Seach Engines. Following Microsoft’s release of image search by content (color, style (illustration or photograph), or face) at the beginning of this month, Google today also announced their image search product by style (Clip art, Line drawings, and Photo content). I am happy to see more and more computer vision technologies are used in leading search engines.  

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Augmented Reality for Home Furniture Placement

In one of my previous post, Future iPhone Applications on Image Recognition, I talked about one of future computer vision applications, Virtual Shopping, by designer Mac Funamizu


An article today was posted by Joshua Koopferstock from Enlighen3D (blog of Feeling Software) releasing their product of Constructive 3D Furniture. It requires users to input two pictures of a room, and some parameters (such as three corresponding points and height of ceiling). Their algorithm will then automatically compute the pseudo-3D model (plane perspectives) of the scene. User can place 3D models of any furniture into the scene to see the effects.

 

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Adobe and Microsoft Competing on Next Generation Home Video Editing

Video editing for special visual effects will no longer be the privileges of video professionals. Recently, Adobe Research and Microsoft Research released their own advanced video editing features. Computer vision technologies have been extensively exploited in the two works. 

As more and more people have digital camcorders at home, easy-to-use “Videoshop” is expected to become a useful tool, as people rely on Adobe Photoshop for editing photos nowadays. Home video editing software has a huge potential market that Adobe and Microsoft are targeting.

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Embed Visual Ads into Videos

ZuraVision is a website on embedding pictures or videos into a video using the computer vision technology developed by Stanford students. 

One immediate application of ZuraVision is to embed visual advertisements into the video. As Google AdSense do for text advertisement, ZuraVision may bring you new opportunities to monetize your video (e.g., on YouTube) in the near future.

The image on the left was cropped from a video embedded with our “VisionWang” logo, giving a realistic perspective.  

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Future iPhone Applications on Image Recognition

What are the future iPhone applications on computer vision?  Mac Funamizu, a graphic designer, came up with a set of new concept of using computer vision and image recognition techniques for Future Mobile Search. This is a perfect add-in to our previous post: Mobile Vision: iPhone Apps Employ Computer Vision and Image Processing Techs.

The future mobile search exploits advanced human computer interaction using build-in camera, fingers and touch screen, powerful capabilities of google search and google map, and the cutting-edge technologies in computer vision and image recognition, and brings engineers great inspiration and opportunities as well. 

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Mobile Vision: iPhone Apps Employ Computer Vision and Image Processing Techs

There are around 10,000 applications from third-party developers for Apple iPhones by the end of 2008. Among them, there are a number of camera/photo-related applications for you to play with. You will be amazed by how computer vision and image processing technologies could deliver you astonishing visual effects and fun, even with a 2MP mobile camera. Some of them offers a set of image editing functionalities like Adobe Photoshop,  such as image enhancement, image filtering, image/video editing, etc. Others use more advanced and complex computer vision technologies, such as object detection/recognition and image retrieval. Here we will review some of the top computer vision apps for iPhone and their core technologies.

 

 

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