CN109829949A - A kind of camera optics method for assessing consistency based on vector analysis - Google Patents
A kind of camera optics method for assessing consistency based on vector analysis Download PDFInfo
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- CN109829949A CN109829949A CN201811564940.8A CN201811564940A CN109829949A CN 109829949 A CN109829949 A CN 109829949A CN 201811564940 A CN201811564940 A CN 201811564940A CN 109829949 A CN109829949 A CN 109829949A
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Abstract
The present invention provides a kind of camera optics method for assessing consistency based on vector analysis, comprising: S1, the characteristic value for utilizing actual samples point under Z-F production acquisition module acquisition camera difference zoom acquire the characteristic value of n actual samples point;S2, the characteristic value of the characteristic value n ideal point corresponding with the standard core being stored in advance in equipment flash of n actual samples point is carried out class cos operation, according to formulae results, illustrates that the consistency of the camera is more unified closer to 1.Camera optics method for assessing consistency of the present invention based on vector analysis carries out optical homogeneity assessment based on the form of vector sum characteristic value, and not only efficiency is more efficient, but also assessment result is more accurate.
Description
Technical field
The invention belongs to camera technique fields, more particularly, to a kind of camera optics compliance evaluation based on vector analysis
Method.
Background technique
Optical homogeneity be exactly with a camera camera lens theoretically, under same zoom position, the clearest point of image
Focal position theoretically should be identical, but real lens are since there are combined error during physics, the light of final camera lens
Learn property be all it is discrepant, this difference is the smaller the better, therefore to guarantee that the more preferably effect of product can do this technical indicator
It is required that this requires to be known as " optical homogeneity index "
Existing appraisal procedure is by the method for physical measurement mostly come confirmation bias value, the disadvantage is that measurement inaccuracy is covered
The curve of lid is incomplete, and practical operation difficulty and time-consuming are bigger.
Summary of the invention
In view of this, the present invention is directed to propose a kind of camera optics method for assessing consistency based on vector analysis, with solution
The curve of certainly existing appraisal procedure measurement inaccuracy covering is incomplete, and practical operation difficulty and time-consuming bigger problem.
In order to achieve the above objectives, the technical scheme of the present invention is realized as follows:
A kind of camera optics method for assessing consistency based on vector analysis, comprising:
S1, the characteristic value that actual samples point under camera difference zoom is acquired using Z-F production acquisition module, acquire n in fact
The characteristic value of border sampled point;
It is S2, the characteristic value of n actual samples point is n corresponding with the standard core being stored in advance in equipment flash
The characteristic value of ideal point carries out class cos operation, according to formulae results, illustrates that the consistency of the camera is more united closer to 1
One.
Further, in the step S1, acquisition actual samples are zoomed in and out to camera video by image capture module
The characteristic value of point.
Further, the actual samples point is point clearest under each zoom;
The actual samples point and ideal point all include zoom value and focus value, are by Y-axis, focus value of zoom value
X-axis establishes plane coordinate system, and the characteristic value of actual samples point is the coordinate value of the X-axis of clearest point, and the actual samples point is corresponding
Ideal point X-axis value be ideal point characteristic value, what the eigenvalue cluster of n actual samples point was tieed up at a n
Feature vector (x1, x2... xn), the feature vector (y of the corresponding composition of characteristic value one n dimension of n ideal point1, y2...
yn)。
Further, ideal point is all identical with the zoom value of corresponding actual samples point.
Further, operational formula is as follows:
Wherein, x is the characteristic value of actual samples point, and y is the characteristic value of the corresponding ideal point of actual samples point.
Compared with the existing technology, the camera optics method for assessing consistency of the present invention based on vector analysis have with
Lower advantage:
The shape of camera optics method for assessing consistency based on vector sum characteristic value of the present invention based on vector analysis
Formula carries out optical homogeneity assessment, and not only efficiency is more efficient, but also assessment result is more accurate.
Specific embodiment
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase
Mutually combination.
In the description of the present invention, it is to be understood that, term " center ", " longitudinal direction ", " transverse direction ", "upper", "lower",
The orientation or positional relationship of the instructions such as "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outside" is
It is based on the orientation or positional relationship shown in the drawings, is merely for convenience of description of the present invention and simplification of the description, rather than instruction or dark
Show that signified device or element must have a particular orientation, be constructed and operated in a specific orientation, therefore should not be understood as pair
Limitation of the invention.In addition, term " first ", " second " etc. are used for description purposes only, it is not understood to indicate or imply phase
To importance or implicitly indicate the quantity of indicated technical characteristic.The feature for defining " first ", " second " etc. as a result, can
To explicitly or implicitly include one or more of the features.In the description of the present invention, unless otherwise indicated, " multiple "
It is meant that two or more.
In the description of the present invention, it should be noted that unless otherwise clearly defined and limited, term " installation ", " phase
Even ", " connection " shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected;It can
To be mechanical connection, it is also possible to be electrically connected;It can be directly connected, can also can be indirectly connected through an intermediary
Connection inside two elements.For the ordinary skill in the art, above-mentioned term can be understood by concrete condition
Concrete meaning in the present invention.
The present invention will be described in detail below with reference to the accompanying drawings and embodiments.
A kind of camera optics method for assessing consistency based on vector analysis, comprising:
S1, the characteristic value that actual samples point under camera difference zoom is acquired using Z-F production acquisition module, acquire n in fact
The characteristic value of border sampled point;Z-F, which produces the Z in acquisition module, indicates zoom, and F indicates zoom.
It is S2, the characteristic value of n actual samples point is n corresponding with the standard core being stored in advance in equipment flash
The characteristic value of ideal point carries out class cos operation, according to formulae results, illustrates that the consistency of the camera is more united closer to 1
One.
In the step S1, the feature for obtaining actual samples point is zoomed in and out to camera video by image capture module
Value.
The actual samples point is point clearest under each zoom;
The actual samples point and ideal point all include zoom value and focus value, are by Y-axis, focus value of zoom value
X-axis establishes plane coordinate system, and the characteristic value of actual samples point is the coordinate value of the X-axis of clearest point, and the actual samples point is corresponding
Ideal point X-axis value be ideal point characteristic value, what the eigenvalue cluster of n actual samples point was tieed up at a n
Feature vector (x1, x2... xn), the feature vector (y of the corresponding composition of characteristic value one n dimension of n ideal point1, y2...
yn)。
Ideal point is all identical with the zoom value of corresponding actual samples point.
Operational formula is as follows:
Wherein, x is the characteristic value of actual samples point, and y is the characteristic value of the corresponding ideal point of actual samples point.Finally
Exporting evaluation reference value Classcify according to the result of calculating, our optical homogeneities assessed are more unified closer to 1.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (5)
1. a kind of camera optics method for assessing consistency based on vector analysis characterized by comprising
S1, the characteristic value that actual samples point under camera difference zoom is acquired using Z-F production acquisition module, acquisition n are actually adopted
The characteristic value of sampling point;
S2, the characteristic value n ideal corresponding with the standard core being stored in advance in equipment flash n actual samples point
The characteristic value of sampled point carries out class cos operation, according to formulae results, illustrates that the consistency of the camera is more unified closer to 1.
2. the camera optics method for assessing consistency according to claim 1 based on vector analysis, it is characterised in that: described
In step S1, the characteristic value for obtaining actual samples point is zoomed in and out to camera video by image capture module.
3. the camera optics method for assessing consistency according to claim 1 based on vector analysis, it is characterised in that: described
Actual samples point is point clearest under each zoom;
The actual samples point and ideal point all include zoom value and focus value, are X-axis by Y-axis, focus value of zoom value
Plane coordinate system is established, the characteristic value of actual samples point is the coordinate value of the X-axis of clearest point, the corresponding reason of actual samples point
The value for thinking the X-axis of sampled point is the characteristic value of ideal point, the feature that the eigenvalue cluster of n actual samples point is tieed up at a n
Vector (x1, x2... xn), the feature vector (y of the corresponding composition of characteristic value one n dimension of n ideal point1, y2... yn)。
4. the camera optics method for assessing consistency according to claim 3 based on vector analysis, it is characterised in that: ideal
Sampled point is all identical with the zoom value of corresponding actual samples point.
5. the camera optics method for assessing consistency according to claim 3 based on vector analysis, which is characterized in that operation
Formula is as follows:
Wherein, x is the characteristic value of actual samples point, and y is the characteristic value of the corresponding ideal point of actual samples point.
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CN107514984A (en) * | 2017-07-07 | 2017-12-26 | 南京航空航天大学 | A kind of 3 d surface topography measuring method and system based on optical microphotograph |
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CN107514984A (en) * | 2017-07-07 | 2017-12-26 | 南京航空航天大学 | A kind of 3 d surface topography measuring method and system based on optical microphotograph |
CN107222683A (en) * | 2017-07-17 | 2017-09-29 | 深圳市东视讯科技有限公司 | Binocular panorama camera produces lens articulation coherence method and system |
Non-Patent Citations (2)
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