Distinguishing Refracted Features Using Light Field Cameras With Application to Structure From Motion
نویسندگان
چکیده
منابع مشابه
Dynamic Structure from Motion using Uncalibrated Cameras and Unsegmented Scenes
Much work has been done in the last decade by the Computer Vision community in understanding the geometry of images of a rigid scene taken by a moving camera. The case of a scene containing motion has been largely ignored. Since most video footage aim at capturing events, hence motion, the need for handling dynamic scenes became apparent. Our work deals with discovering the geometrical models a...
متن کاملStructure from Motion Using Rigidly Coupled Cameras without Overlapping Views
Structure from Motion can be improved by using multicamera systems without overlapping views to provide a large combined field of view. The extrinsic calibration of such camera systems can be computed from local reconstructions using hand-eye calibration techniques. Nevertheless these approaches demand that motion constraints resulting from the rigid coupling of the cameras are satisfied which ...
متن کاملEyes from Eyes: New Cameras for Structure from Motion
We investigate the relationship between camera design and the problem of recovering the motion and structure of a scene from video data. The visual information that could possibly be obtained is described by the plenoptic function. A camera can be viewed as a device that captures a subset of this function, that is, it measures some of the light rays in some part of the space. The information co...
متن کاملClosed-Form Change Detection from Moving Light Field Cameras
We present a novel approach to change detection from a moving camera, a task normally complicated by the nonuniform apparent motion of complex 3D environments. By combining methods for visual odometry and rendering from light fields, we derive what is, to our knowledge, the first closedform approach to 3D change detection. No depth estimation is required – apparent motion is disregarded by expl...
متن کاملRecovering 3D Metric Structure and Motion from Multiple Uncalibrated Cameras
An optimized linear factorization method for recovering both the 3D geometry of a scene and the camera parameters from multiple uncalibrated images is presented. In a first step, we recover a projective approximation using a well known iterative approach. Then, we are able to upgrade from projective to Euclidean structure by computing the projective distortion matrix in a way that is analogous ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Robotics and Automation Letters
سال: 2019
ISSN: 2377-3766,2377-3774
DOI: 10.1109/lra.2018.2884765