Proofread a paper darft

Hi, I have a 10-page paper that I want to be proofread. The subject is in computer vision. I want the person who proofread this paper to improve the structure of the sentences, make descriptions concise, correct the grammatical errors and replace more advanced grammars. I will give the paper in form of a word document, and I want to receive back the paper with track-changes on. Here is a sample paragraph from the abstract: The accuracy of intrinsic and extrinsic parameters of the cameras of a stereoscopic system plays an important role in achieving high precision three dimensional (3D) deformation or shape measurements. The methods that use calibration targets (template-based) are the primary method of calibrating multi-camera systems, and checkerboard templates are the most commonly used calibration targets. However, localising the control points of checkerboard templates (i.e. their corner locations) is not sufficiently accurate to provide a good estimate of the camera parameters. Some methods were previously proposed to address this limitation, and to improve the localisation of the control points. However, the previous methods had their own limitations, such as they were either unable to effectively model the lens distortion effects, or did not use an accurate and robust method to localise the control points. Here, we addressed some of the limitations of the previous methods and proposed a model-based technique for calibration of multi-camera systems. The initial values of the camera parameters were found using a recently developed multi-camera calibration method that was based on a checkerboard template. The initial parameters then were refined using a designed calibration target consisting of concentric circles and the reconstructed model of this calibration target, which was reconstructed in the estimated 3D position of the calibration target in the calibration images. This approach enables us to simultaneously refine the control point locations and estimate the lens distortion effects. The discrepancies between the calibration target and its reconstructed model were measured using a robust and accurate algorithm for subpixel image registration. We proposed to use the Zernike polynomials as mapping function to define a forward lens distortion model.