Method and device for providing handwriting input in electronic device
US-2024310998-A1 · Sep 19, 2024 · US
US9569695B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9569695-B2 |
| Application number | US-201313869656-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 24, 2013 |
| Priority date | Apr 24, 2012 |
| Publication date | Feb 14, 2017 |
| Grant date | Feb 14, 2017 |
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Image-processing apparatus and methods to adaptively control a size and/or location of a visual search window used for feature matching in a machine-vision system are described. A search window controller may receive motion vector data and image recognition rate data, and compute a search window size and/or search window location based on the received data. The computed search window size may be a portion of an image frame. The motion vector data and image recognition rate data may be computed from one or more images in a video image sequence. By adaptively controlling search window size and location, an appreciable reduction in data processing burden for feature matching may be achieved.
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What is claimed is: 1. An image processing system, comprising: one or more memories; and image processing circuitry, which, in operation: controls a search window location of a search window associated with an image frame based on a motion vector associated with a sub-region of a previously processed image frame; and controls a size and shape of the search window in response to a determined recognition rate, wherein the image processing circuitry, in operation, controls horizontal and vertical dimensions of the search window based on the motion vector associated with the sub-region of the previously processed image frame, according to: N h = K k × f ( V h , N - 1 ) R q ; and N v = K v × f ( V v , N - 1 ) R q , where N h is a horizontal size in pixels or sub-regions, N v is a vertical size in pixels or sub-regions, K h is a horizontal scaling constant, K v is a vertical scaling constant, f(V h, N−1 ) represents a functional dependency on a horizontal magnitude of the motion vector associated with the sub-region of the previously processed image frame, f(V v, N−1 ) represents a functional dependency on a vertical magnitude of the motion vector associated with the sub-region of the previously processed image frame, and R q represents the determined recognition rate. 2. The image processing system of claim 1 , wherein the image processing circuitry comprises a field-programmable gate array. 3. The image processing system of claim 1 wherein the determined recognition rate is based on feature matching. 4. The image processing system of claim 1 wherein the image processing circuitry, in operation, encodes received video data and computes the motion vector. 5. The image processing system of claim 4 wherein the image processing circuitry, in operation, encodes video data according to a standardized format. 6. The image processing system of claim 5 , wherein the standardized format comprises a MPEG or H264 format. 7. The image processing system of claim 1 wherein the image processing circuitry, in operation: retrieves feature data from the one or more memories based upon the size of the search window; and matches feature data for at least one feature of the image frame associated with the window against the feature data retrieved from the buffer. 8. The image processing system of claim 7 wherein the image processing circuitry, in operation, outputs optical flow data based upon matching results of feature data. 9. The image processing system of claim 7 , comprising: an integrated circuit including the one or more memories and the image processing circuitry, wherein the one or more memories include a buffer, which, in operation, stores feature data. 10. A method, comprising: controlling, using image processing circuitry, a search window location of a search window associated with an image frame based on a motion vector associated with a sub-region of a previously processed image frame; and controlling, using the image processing circuitry, a size and shape of the search window in response to a determined recognition rate, wherein the controlling the size and shape of the search window comprises controlling horizontal and vertical dimensions of the search window based on the motion vector associated with the sub-region of the previously processed image frame, according to: N h = K k × f ( V h , N - 1 ) R q ; and N v =
Selection of the most significant subset of features · CPC title
Aligning, centring, orientation detection or correction of the image · CPC title
by affine transforms, e.g. correction due to perspective effects; Quadrilaterals, e.g. trapezoids · CPC title
using feature-based methods · CPC title
Motion estimation characterised by a search window with variable size or shape · CPC title
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