Claims:We Claim:

1. A method for automatically adjusting clicking speed of a digital camera, the method comprising steps of:
ensuring bi-orthogonal nature of filter by using Cohen-Daubechies-Feaurveau 9/7 biorthogonal filter pair;
applying Fourier series of Low Pass Filter;
normalizing the conditions symmetrically;
binding adaptivity by COS polynomial;
evaluating coefficient by using plugin;
approximating adaptivity for adjusting shutter speed accordingly;
calculating coefficient of filter to make shutter speed move accordingly for capturing best image with lesser noise.
, Description:Field of the invention
The present invention relates to a camera. More particularly, the present invention relates to a method for automatically adjusting clicking speed of a digital camera, specifically used wild life photography.

Background of the invention

2D and 3D imaging has variety of applications. Interactive visualization of remote environments by a virtual camera for teleconferencing, virtual modification of a real scene for augmented reality tasks, robot navigation, multimedia computing to generate new virtual views of scenes, virtual reality, games and even special effects for motion pictures, Cricket or tennis referral systems are few applications where 3D reconstruction is used. In medical field, it is used in applications like virtual endoscopy, 3D rendering of anatomy, physician-patient relationship, preoperative planning (with individualized custom planning), training (teaching of anatomy, gesture surgical learning, minimally invasive surgical techniques), guided surgery etc. Medical imaging from various modalities (such as X-ray computed tomography, magnetic resonance imaging, nuclear trace tomography, optical imaging, ultrasound, etc.) enables the 3D reconstruction of object (organ, tissue, bone, joint etc.) as surface or volume. The 3D object reconstruction has significant applications in rehabilitation. The literature shows that researchers have used either homography or voxel based methods for 3D reconstruction predominantly. The application areas like rehabilitation engineering and medical field need more accuracy. Hence we propose to integrate these two approaches for design of hybrid model for rehab engineering.

The reconstruction of a complex 3D scene from multiple images has been a fundamental and old challenging problem in the field of computer vision. Figure 1 shows the projection of 3D world point p(x,y,z) on image plane. That is point Pc(u,v). Image plane is at focus and hence focal length ‘f ’ away from ‘O’. Figure 1 shows that how the third dimension, the depth , is lost during projection.
Figure 1 shows camera with center of projection ‘O’ and principal axis parallel to Z axis.

The relation between the 3D world point ‘P’ and its projection ‘Pc’ is given by,

Pc = C.P ………………. (1)

Where, C is a camera matrix. In terms of coordinates the equation 1 can be expressed as,
……………. (2)
In homogeneous representation we have,

……..……. (3)

The camera matrix ,C, is a combination of camera’s intrinsic parameter matrix ‘K’ ( focal length, resolution ,Principal Axis ) and extrinsic parameters given by rotation matrix R and Translation T. The further details can be studied from [3] .Figure 1 also shows that the points on the ray joining camera center ‘O’ and 3D world point ‘P’ have same projection on image plane that is, ‘Pc’. Hence, to locate or to reconstruct the 3D world point P from its image (2D) uniquely, we must know camera matrix ‘C’ and also have two images/views of the 3D world point P. The estimation of camera matrix C is called as Camera calibration. If only intrinsic parameters are found, the camera is said to be calibrated. If both, intrinsic and extrinsic parameters are estimated then the camera is said to be fully calibrated. The estimation of extrinsic parameters is also termed as camera pose estimation.

2. Homography- state-of-the-art-

Hartley and Zisserman defined the homography as, it is an invertible mapping of point on one projective plane to another. Figure 2 shows projection of point P in 3D world plane π on image planes of two cameras having centers at O1 and O2 . A relationship between these projections that relates the two cameras is called as homography induced by plane π . Other terms for this transformation are collineation, projectivity, and planar projective transformation.

Figure 2 shows Homograph induced by a plane
The point and , are related by homography matrix H as given below.

…………………...(4)

………………...(5)
Thus matrix H relates one camera image with another and defines a Homography .The detailed derivation can be studied from [3]. The matrix H is 3x3 matrix. It has eight unknown parameters. One correspondence point pair gives two equations. Hence to solve for eight unknown parameters we need at least four correspondence points.

Typically, homography is estimated between images by finding feature correspondences in those images. The most commonly used algorithms make use of point feature correspondences, though other features can be used as well, such as lines or conics.

Therefore, there is need to provide a method and system making the camera adaptive and adjusts shutter speed automatically for 2D/3D imaging.

Objects of the invention

An object of the object of the present invention is to provide a method for automatically adjusting clicking speed of a digital camera.

Another object of the object of the present invention is to provide a method for automatically adjusting clicking speed of a digital camera, which makes the Camera adapted by providing embedded filter that produces adaptive shutter speed adjustment.

Yet another object of the present invention is to provide a method for automatically adjusting clicking speed of a digital camera, which enables better wild life photography as the shutter speed of the camera is reduced and its noiseless.

Summary of the invention

According to the present invention there is provided a method for automatically adjusting clicking speed of a digital camera. The method comprising step of ensuring bi-orthogonal nature of filter by using Cohen-Daubechies-Feaurveau 9/7 biorthogonal filter pair. Further, applying Fourier series of Low Pass Filter. Thereafter, the conditions are normalized symmetrically. Further, adaptivity is bound by COS polynomial. Further, coefficient is evaluated by using plugin.
Thereafter, adaptivity is approximated for adjusting shutter speed accordingly.
calculating coefficient of filter to make shutter speed move accordingly for capturing best image with lesser noise.

Brief description of the invention

Figures 1 shows a camera with center of projection ‘O’ and principle axis parallel to Z axis of the prior art;

Figure 2 shows a homography induced by planes of the prior art; and

Figure 3 shows a flow chart of a method for automatically adjusting clicking speed of a digital camera in accordance with the present invention.

Detail description of the invention

For a thorough understanding of the present invention, reference is to be made to the following detailed description, including the appended claims, in connection with the above-described drawings. Although the present invention is described in connection with exemplary embodiments, the present invention is not intended to be limited to the specific forms set forth herein. It is understood that various omissions and substitutions of equivalents are contemplated as circumstances may suggest or render expedient, but these are intended to cover the application or implementation without departing from the spirit or scope of the claims of the present invention. Also, it is to be understood that the phraseology and terminology used herein is for the purpose of description and should not be regarded as limiting.

The term such as “first” and “second” does not denote priority or any sequence, but are used for differentiating two similar elements. Further, the term “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced item.

The present invention provides a method for automatically adjusting clicking speed of a digital camera. The method makes the camera adapted by providing embedded filter that produces adaptive shutter speed adjustment. The method enables better wild life photography as the shutter speed of the camera is reduced and its noiseless.

Referring now to figures 3, show a flowchart of a method 200 for automatically adjusting clicking speed of a digital camera in accordance with the present invention. The method 200 starts at step 110. The present invention of the method 200 an adaptive mechanism that adjusts the shutter speed automatically for 2D/3D imaging is configured. The camera calibration model is obtained for this adaptive filtering approach. CDF 97 variant is used for this purpose. The filter design is as follows:

At step 120, bi-orthogonal nature of filter is ensured by using Cohen-Daubechies-Feaurveau 9/7 biorthogonal filter pair. Cohen-Daubechies-Feauveau 9/7 biorthogonal filter pair is popularly knows as CDF97 in literatures. It is approved by the committee to become part of Lossy JPEG 2000 compression standards. CDF98 is not a member of the biorthogonal spline filter family. In fact, it works better than 9/7 tap that can be designed using biorthogonal spline framework that is already known.

At step 130, Fourier series of Low Pass Filter (LPF) is used.

At step 140, the conditions are normalized symmetrically.

Further, at step 150, binding adaptivity by COS polynomial.

Thereafter, at step 160, a plugin is used and the coefficient is evacuated.

Thereafter, at step 170, approximating adaptivity for adjusting shutter speed accordingly.

Thereafter, at step 180 coefficient of filter calculated to make shutter speed move accordingly for capturing best image with lesser noise.

Therefore, the present invention of the method 200 has advantage automatically adjusting clicking speed of a digital camera. The method 200 makes the camera adapted by providing embedded filter that produces adaptive shutter speed adjustment. The method 200 enables better wild life photography as the shutter speed of the camera is reduced and its noiseless.

The foregoing descriptions of specific embodiments of the present invention have been presented for purposes of illustration and description. They are not intended to be exhaustive or to limit the present invention to the precise forms disclosed, and obviously many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the present invention and its practical application, and to thereby enable others skilled in the art to best utilize the present invention and various embodiments with various modifications as are suited to the particular use contemplated. It is understood that various omissions and substitutions of equivalents are contemplated as circumstances may suggest or render expedient, but such omissions and substitutions are intended to cover the application or implementation without departing from the spirit or scope of the claims of the present invention.