Multi-camera systems are increasingly gaining popularity for various applications and their correct functionality depends on precise registration. The complexity of registering the various images to each other is reduced significantly by rectifying the images. This usually relies on an offline calibration process. In reality, components of the camera module respond differently to various factors such as temperature variations, field conditions, etc. Therefore, changes in geometric camera calibration, unless accounted for, can affect the proper registration, which in turn leads to severe degradation of the imaging system or can lead to artifacts. We present a method that can assess the geometric calibration of an array camera and perform an adaptive adjustment of geometric calibration by robust feature matching in any imaged scene. Assuming a gradual degradation of geometric calibration from their previously calibrated values, we exploit the redundancy of a camera array system to recover from the variation of calibrated parameters. Compared to other online calibration methods mostly used for stereo systems, our proposed method is efficient and robust, and derives a solution for multi-camera systems. We illustrate the usefulness of our geometric calibration compensation approach through a super-resolution application where we recover significant image details that are lost due to errors in calibration.