Methods and systems for an automated design, fulfillment, deployment and operation platform for lighting installations
US-12135922-B2 · Nov 5, 2024 · US
US9401041B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9401041-B2 |
| Application number | US-201214353420-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 23, 2012 |
| Priority date | Oct 26, 2011 |
| Publication date | Jul 26, 2016 |
| Grant date | Jul 26, 2016 |
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An embodiment of the invention is a method that provides common data and enforces multiple view consistency. In a preferred embodiment, a coordinate alignment matrix is generated after initial warped views are formed. The matrix is used efficiently to repair holes/occlusions when synthesizing final views. In another preferred embodiment, a common background layer is generated based upon initial warped views. Holes are repaired on the common background layer, which can then be used for synthesizing final views. The cost of the latter method is sub-linear, meaning that additional views can be generated with lesser cost. Preferred methods of the invention also use a placement matrix to generate initial warped views, which simplifies warping to a lookup operation.
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The invention claimed is: 1. A method for rendering multiple view data from a stereoscopic video data stream, comprising: receiving or estimating a disparity map D from the stereoscopic data; forming a placement matrix P to warp known pixels onto an image plane of a desired view, the placement matrix at position α in the placement matrix is defined as: P k α ( x,y +( k −α) D k ( x,y ))= y, where x and y are row and column indices, respectively, k is a reference image position indicating a view from the multiple view data, and the placement matrix P k (x,y)=ŷ provides a pixel location (x′,ŷ) in the reference image that should be mapped on the pixel location (x′,y′) in a virtual view after warping; and with the placement matrix, using a look-up table to conduct image warping. 2. The method of claim 1 , further comprising resolving any mapping of multiple pixels from different disparity levels onto the same pixel location by favoring pixels with larger disparity when generating foreground and for other occasions where there exist two pixels with column indices y m and y n , and row index x such that y m ≠y n and y′=y m −αD k (x,y m )=y n −αD k (x,y n ), using the following rule: P k α ( x , y ′ ) = { y m if D k ( x , y m ) > D k ( x , y n ) y n otherwise . ( 2 ) 3. The method of claim 2 , further comprising a refining step to choose final pixel values based upon the neighborhood of a pixel to choose a more likely value amount two or more candidate values. 4. The method of claim 1 , further comprising: conducting coordinate alignment between multiple views; and repairing holes in said multiple views individually with respect to a local background layer; and generating final views using repaired information from the multiple views. 5. The method of claim 1 , further comprising: generating a common background layer for multiple views; repairing holes in the multiple views on the common background layer; and generating final views using repaired information from the common background layer.
Volume rendering · CPC title
Transformation of image signals corresponding to virtual viewpoints, e.g. spatial image interpolation · CPC title
using lenticular lenses, e.g. arrangements of cylindrical lenses · CPC title
Adjusting depth or disparity · CPC title
Depth or disparity estimation from stereoscopic image signals · CPC title
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