US6968081B1
Expired / Lapsed
US
⏱️ 0.0 years remaining
System, method, and apparatus for orienting images
Assignee: Luminus Systems Inc
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Filing: 2000-11-14
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Granted: 2005-11-22
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Expires: 2020-11-14
Abstract
Abstract The present invention is directed to a system, method, and apparatus for orienting images. A neural net is trained with images of known orientation and an indicator indicating such known orientation. Images of unknown orientation are then input to the neural net and the orientation is determined based on the output of the neural net.
Inventors
- 👤 Ross Judson
- 👤 Patrick Meenan
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-09 17:56
CPC Classifications
G; G06; G06T; G06T7/00; G06T7/70; G06T7/73; G06T7/74; G06V; G06V10/00; G06V10/20; G06V10/24; G06V10/242
Claims Analysis
Total Claims: 18
Claim 1
Independent Claim
90 words
A method for orienting an image, said method comprising: training a neural net at least one image with known orientation associated with at least one indicator, wherein the at least one indicator is assigned a first value if the at least one image is properly oriented and a second value if the at least one image is improperly oriented; inputting the image to the neural net; receiving the output of the neural net, responsive to submitting the image; and determining the orientation of the image responsive to receiving the output.
Claim 2
Independent Claim
90 words
A method for orienting an image, said method comprising: training a neural net at least one image with known orientation associated with at least one indicator, wherein the at least one indicator is assigned a first value if the at least one image is properly oriented and a second value if the at least one image is improperly oriented; inputting the image to the neural net; receiving the output of the neural net, responsive to submitting the image; and determining the orientation of the image responsive to receiving the output.
Claim 3
Dependent Claim
38 words
The method of claim 1 , wherein submitting the image to the neural net comprises: inputting the image to the neural net with a first orientation; and inputting the image to the neural net with a second orientation.
Claim 4
Dependent Claim
58 words
The method of claim 2 , wherein receiving the output of the neural net comprises: receiving a first output of the neural net responsive to inputting the image to the neural net with the first orientation; and receiving a second output of the neural net responsive to inputting the image to the neural net with the second orientation.
Claim 5
Dependent Claim
43 words
The method of claim 3 , wherein determining the orientation of the image comprises: selecting the first orientation wherein the first output is closer to the first value; and selecting the second orientation wherein the second output is closer to the second value.
Claim 6
Dependent Claim
14 words
The method of claim 1 , further comprising: reducing the resolution of the image.
Claim 7
Dependent Claim
107 words
An article of manufacture comprising computer readable medium, said computer readable medium storing a plurality of executable instructions, said plurality of executable instructions comprising means for: training a neural net at least one image with known orientation associated with at least one indicator, wherein the at least one indicator is assigned a first value if the at least one image is properly oriented and a second value if the at least one image is improperly oriented; inputting the image to the neural net; receiving the output of the neural net, responsive to submitting the image; and determining the orientation of the image responsive to receiving the output.
Claim 8
Dependent Claim
107 words
An article of manufacture comprising computer readable medium, said computer readable medium storing a plurality of executable instructions, said plurality of executable instructions comprising means for: training a neural net at least one image with known orientation associated with at least one indicator, wherein the at least one indicator is assigned a first value if the at least one image is properly oriented and a second value if the at least one image is improperly oriented; inputting the image to the neural net; receiving the output of the neural net, responsive to submitting the image; and determining the orientation of the image responsive to receiving the output.
Claim 9
Dependent Claim
45 words
The article of manufacture of claim 6 , wherein the means for submitting the image to the neural net comprises means for: inputting the image to the neural net with a first orientation; and inputting the image to the neural net with a second orientation.
Claim 10
Dependent Claim
65 words
The article of manufacture of claim 7 , wherein the means for receiving the output of the neural net comprises means for: receiving a first output of the neural net responsive to inputting the image to the neural net with the first orientation; and receiving a second output of the neural net responsive to inputting the image to the neural net with the second orientation.
Claim 11
Dependent Claim
50 words
The article of manufacture of claim 8 , wherein the means for determining the orientation of the image comprises means for: selecting the first orientation wherein the first output is closer to the first value; and selecting the second orientation wherein the second output is closer to the second value.
Claim 12
Dependent Claim
15 words
The article of manufacture of claim 6 , further comprising means for: compressing the image.
Claim 13
Dependent Claim
108 words
A computer system for orienting a digital image, said computer system comprising: a processor for performing processing functions; memory; means for training a neural net at least one image with known orientation associated with at least one indicator, wherein the at least one indicator is assigned a first value if the at least one image is properly oriented and a second value if the at least one image is improperly oriented; means for inputting the image to the neural net; means for receiving the output of the neural net, responsive to submitting the image; and means for determining the orientation of the image responsive to receiving the output.
Claim 14
Dependent Claim
108 words
A computer system for orienting a digital image, said computer system comprising: a processor for performing processing functions; memory; means for training a neural net at least one image with known orientation associated with at least one indicator, wherein the at least one indicator is assigned a first value if the at least one image is properly oriented and a second value if the at least one image is improperly oriented; means for inputting the image to the neural net; means for receiving the output of the neural net, responsive to submitting the image; and means for determining the orientation of the image responsive to receiving the output.
Claim 15
Dependent Claim
44 words
The computer system of claim 11 , wherein the means for submitting the image to the neural net comprises means for: inputting the image to the neural net with a first orientation; and inputting the image to the neural net with a second orientation.
Claim 16
Dependent Claim
64 words
The computer system of claim 12 , wherein the means for receiving the output of the neural net comprises means for: receiving a first output of the neural net responsive to inputting the image to the neural net with the first orientation; and receiving a second output of the neural net responsive to inputting the image to the neural net with the second orientation.
Claim 17
Dependent Claim
49 words
The computer system of claim 13 , wherein the means for determining the orientation of the image comprises means for: selecting the first orientation wherein the first output is closer to the first value; and selecting the second orientation wherein the second output is closer to the second value.
Claim 18
Dependent Claim
14 words
The computer system of claim 11 , further comprising means for: compressing the image.
References Cited (Backward Citations)
US5878165A
Cited
US6208758B1
Cited
US6101270A
Cited
US5424773A
Cited
US5887078A
Cited
US5845048A
Cited
US5982483A
Cited
US6324532B1
Cited
US6128397A
Cited
US6281928B1
Cited
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 2008-11-21 | 2009-05-23 | 2009-11-22 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2012-11-21 | 2013-05-23 | 2013-11-22 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2016-11-21 | 2017-05-23 | 2017-11-22 | $7700.00 | Window Closed / Lapsed |