Incremental 3D Cuboid Modeling with Drift Compensation
نویسندگان
چکیده
منابع مشابه
3D Object Detection with a Deformable 3D Cuboid Model
This paper addresses the problem of category-level 3D object detection. Given a monocular image, our aim is to localize the objects in 3D by enclosing them with tight oriented 3D bounding boxes. We propose a novel approach that extends the deformable part-based model [1] to reason in 3D. Our model represents an object class as a deformable 3D cuboid composed of faces and parts, which are both a...
متن کاملA Comprehensive Micro-Nanomechanical Drift Modeling and Compensation for Nanorobots
This paper introduces a new approach for complete drift modeling and compensation for Scanning Probe Microscopes (SPMs) as conventional nanorobots. Although, before this, drift was described as remained error after hysteresis and creep compensation, it can seriously a ect SPM performance. Since experimental work accentuated that thermal strain has a dominant contribution, the present model incl...
متن کاملFlexible drift-compensation system for precise 3D force mapping in severe drift environments.
The acquisition of dense 3D data sets is of great importance, but also a challenge for scanning probe microscopy (SPM). Thermal drift often induces severe distortions in the data, which usually constrains the acquisition of dense data sets to experiments under ultra-high vacuum and low-temperature conditions. Atom tracking is an elegant approach to compensate for thermal drift and to position t...
متن کاملRobust incremental compensation of the light attenuation with depth in 3D fluorescence microscopy.
Summary Fluorescent signal intensities from confocal laser scanning microscopes (CLSM) suffer from several distortions inherent to the method. Namely, layers which lie deeper within the specimen are relatively dark due to absorption and scattering of both excitation and fluorescent light, photobleaching and/or other factors. Because of these effects, a quantitative analysis of images is not alw...
متن کامل3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model
This paper addresses the problem of category-level 3D object detection. Given a monocular image, our aim is to localize the objects in 3D by enclosing them with tight oriented 3D bounding boxes. We propose a novel approach that extends the well-acclaimed deformable part-based model [1] to reason in 3D. Our model represents an object class as a deformable 3D cuboid composed of faces and parts, w...
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: Sensors
سال: 2019
ISSN: 1424-8220
DOI: 10.3390/s19010178