Are there any computer vision algorithms specifically targeting depth images?

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Are there any computer vision algorithms specifically targeting depth images?

I've been looking into marker detection algorithms to use with a kinect based application, and the majority of the work I've been able to find is obviously focused on feature detection in 'normal' images. However, the kinect hardware provides (essentially, once you've adjusted) an 11-bit depth value per pixel. This depth image also has various visual artifacts in it from the shadows cast around the edges of objects (see for example the strong black border in this video http://www.youtube.com/watch...

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My favourite 2.5D/3D feature descriptor for registration and recognition is the spin image (original...

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Doug at Signal Processing Mark as irrelevant Undo

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What are the basic computer vision algorithms to start with for a beginner, which can be implemented as JAVA project?

I am just graduated and confused about my majors for MS. I just wanna get a feel of computer vision algorithm, so i want to start implementing some algorithm. I have a basic knowledge of SIFT and RANSAC, but have no clue about implementation details...

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1.   Implementing Harris Corner Detection would be a good choice to begin with,  as it deals you with...

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Mert Kilickaya at Quora Mark as irrelevant Undo

Computer Vision: What algorithms can be used to classify scanned documents based on content?

I'm in need of classifying large sets of scanned / photographed images of office documents. Think invoices, vendor supply lists, etc. Documents are of course in different orientations and resolutions. The final goal is grouping by type (such as for example...

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What you need is Locality Sensitive Hashing (LSH) (Locality-sensitive hashing). Since your documents...

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Ankur Kumar at Quora Mark as irrelevant Undo

Computer Vision: What are state of the art algorithms for efficient image retrieval under light distortion?

details: the target and the source image are the same image - subjected to quasi-affine transform (scale/rotate/light/crop) as an example consider matching the images resulting from capturing exactly the same scene taken by two photographers (different...

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In general, it is dependent on the type of object for which you are trying to detect. It is important...

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Dan Preston at Quora Mark as irrelevant Undo

Patent search of patents relating to video based security systems

WHAT I WANT: PATENTS RELATED TO VIDEO SECURITY I want to find patents related to *video* security. Video security for me spans camera based security systems; Computer algorithms for tracking people, vehicles, people pushing carts; Computer vision methods...

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Hi! Thanks for the question. Please take note that before providing a rating; please ask for clarification...

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ezrahb-ga at Google Answers Mark as irrelevant Undo

Answer:

How about Super pixel? Superpixel segmentation | IVRG

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HeeDong Im at Quora Mark as irrelevant Undo

List of Companies and Techniques in Video Security

WHAT I WANT: LIST OF COMPANIES and TECHNIQUES IN VIDEO SECURITY I want to assemble a list of companies and secondly research groups and thirdly papers working in the general area of video security. The industry is currently dominated either by ?Digital...

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Hello - If you need any additional or different information, simply post a clarification request, and...

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ezrahb-ga at Google Answers Mark as irrelevant Undo

Has anyone developed computer vision/image processing algorithms on Twitter Storm?

Twitter Storm seems like a good fit for implementing a computer vision algorithm that has real-time requirements, such as querying an image, running an interest point detector, and searching an in-memory data structure of descriptors distributed across...

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There is an experimental platform (HIPI) being developed at the University of Virginia for batch image...

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Ashwin Tumne at Quora Mark as irrelevant Undo

Why does most computer vision work lie in feature extraction rather than algorithms related to machine learning?

Rather than natural language processing work, I think most of the research on computer vision really focus on how to get a good feature. Some very famous algorithms in computer vision like SIFT or HOG actually just have a good representation of the features...

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A picture may be worth a thousand words, but it takes a million words to store a picture. (Please kindly...

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Ryan Wong at Quora Mark as irrelevant Undo

How can you carry out experiments and compare with other algorithms in computer vision  research (object detection, recognition, tracking etc)?

For object/action detection, categorization, recognition, tracking , etc. in computer vision, a general flow may be (1)pre-processing;(2)feature extraction;(3) applying task-dependent machine learning algorithms (training and testing);(4) performance...

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Unfortunately, there is no easy answer.  You typically learn to deal with all of these issues while...

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Tomasz Malisiewicz at Quora Mark as irrelevant Undo

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