کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
525648 | 869006 | 2015 | 17 صفحه PDF | دانلود رایگان |
• We describe a hierarchical structure-from-motion pipeline.
• No information is needed beside images themselves.
• The pipeline proved successful in real-world tasks.
This paper addresses the structure-and-motion problem, that requires to find camera motion and 3D structure from point matches. A new pipeline, dubbed Samantha, is presented, that departs from the prevailing sequential paradigm and embraces instead a hierarchical approach. This method has several advantages, like a provably lower computational complexity, which is necessary to achieve true scalability, and better error containment, leading to more stability and less drift. Moreover, a practical autocalibration procedure allows to process images without ancillary information. Experiments with real data assess the accuracy and the computational efficiency of the method.
Journal: Computer Vision and Image Understanding - Volume 140, November 2015, Pages 127–143