Image Stitching — MCQs | Digital Image Processing

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1. What is the primary goal of image stitching in computer vision?



2. Which key feature is most important for successful image stitching?



3. What does a homography matrix represent in image stitching?



4. Which technique is commonly used for detecting keypoints in images for stitching?



5. In image stitching, blending is used to:



6. Which projection model is best suited for wide panoramas?



7. What problem occurs when images are not properly aligned during stitching?



8. Which method is used to reduce parallax errors in image stitching?



9. Which algorithm estimates the transformation between overlapping images?



10. Which component is not essential for image stitching?



11. What is the purpose of bundle adjustment in image stitching?



12. Which descriptor is most robust for matching keypoints under scale changes?



13. Which image blending method handles exposure differences effectively?



14. Which feature detector is computationally efficient and rotation invariant?



15. Which technique is commonly used to stitch images from UAVs?



16. Which of the following is a common cause of stitching failure?



17. What kind of transformation is typically used in aligning images for stitching?



18. Which blending technique helps in reducing seams between images?



19. Which of the following helps in aligning overlapping regions accurately?



20. What is a major limitation of using only translation for stitching images?



21. Which of the following is not a feature matching technique?



22. Why is cylindrical projection used in stitching?



23. Which step involves computing the relationship between two image planes?



24. What is used to measure the similarity between two descriptors?



25. Which method ensures robustness against outliers in keypoint matching?



26. Which component helps improve stitching for scenes with depth variation?



27. What is the first step in the image stitching pipeline?



28. What does SIFT stand for?



29. Which descriptor performs best under scale, rotation, and illumination changes?



30. In which domain are images transformed for frequency-based blending?



31. Which step reduces visual discontinuities in stitched images?



32. Which descriptor combines FAST keypoints with BRIEF descriptors?



33. Why is camera calibration important in image stitching?



34. Which feature matching strategy selects the best match from a set of candidates?



35. What is the role of the overlap region in image stitching?



36. Which image format is best for high-quality stitching output?



37. Which stitching problem is caused by camera movement during capture?



38. What is the main purpose of warping in image stitching?



39. Which process involves minimizing feature alignment error in stitching?



40. Which technique is least affected by affine transformations?



41. Which method is most effective for blending varying exposures in stitching?



42. Which algorithm is used to align keypoints between images?



43. Which is not a benefit of automatic image stitching?



44. Which operation is not typically part of stitching pipelines?



45. Which software library is widely used for image stitching?



46. Which parameter is critical for good feature detection in images?



47. Which keypoint detector is based on intensity differences?



48. What does an image mosaic refer to in stitching?



49. Which transformation accounts for rotation, translation, and perspective?



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