2014Unpublished venueRequires access

Analysis of the Bundle Adjustment Based on Common Digital Images

Su B

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Abstract

Bundle adjustment is the main common digital image data processing method of measurement, With high precision, easy to introduce systematic error correction, etc. However, the algorithm also exist on the number of control points required more and more unknowns and disadvantages such as mutual interference. These shortcomings in different application conditions, its impact will be able to zoom in or out. So far,however, most of the evaluation method is limited beam checkpoint bit errors, lack of quantitative research on the various influencing factors.This paper selected key factors to carried out bundle adjustmenthe test and analyzed algorithm characteristic.Explicit algorithm characteristics and play a specific role in guiding the application of bundle adjustment.

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What this paper is about

Bundle adjustment is the main common digital image data processing method of measurement, With high precision, easy to introduce systematic error correction, etc. However, the algorithm also exist on the number of control points required more and more unknowns and disadvantages such as mutual interference. These shortcomings in different application conditions, its impact will be able to zoom in or out. So far,however, most of the evaluation method is limited beam checkpoint bit errors, lack of quantitative research on the various influencing factors.This paper selected key factors to carried out bundle adjustmenthe test and analyzed algorithm characteristic.Explicit algorithm characteristics and play a specific role in guiding the application of bundle adjustment.

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Available abstract

Bundle adjustment is the main common digital image data processing method of measurement, With high precision, easy to introduce systematic error correction, etc. However, the algorithm also exist on the number of control points required more and more unknowns and disadvantages such as mutual interference. These shortcomings in different application conditions, its impact will be able to zoom in or out. So far,however, most of the evaluation method is limited beam checkpoint bit errors, lack of quantitative research on the various influencing factors.This paper selected key factors to carried out bundle adjustmenthe test and analyzed algorithm characteristic.Explicit algorithm characteristics and play a specific role in guiding the application of bundle adjustment.

Key concepts: Bundle adjustment, Bundle, Computer science, Key (lock), Interference (communication), Zoom, Algorithm, Data mining

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