scispace - formally typeset
Proceedings ArticleDOI

A Multi-camera, Multi-projector Super-Resolution Framework for Structured Light

Reads0
Chats0
TLDR
This work presents a framework for multi-camera, multi-projector object acquisition based on structured light that allows the reconstruction of an object without moving either the object or the acquisition setup, avoiding any registration of independent measurements.
Abstract
In this work, we present a framework for multi-camera, multi-projector object acquisition based on structured light. This approach allows the reconstruction of an object without moving either the object or the acquisition setup, avoiding any registration of independent measurements. To overcome the resolution limitations of the individual projectors, we introduce a novel super-resolution scheme. By exploiting high dynamic range imaging, we are able to handle even complicated objects, exhibiting strong specularities. We show that, combined with an iterated bundle adjustment, these improvements increase the accuracy of the obtained point cloud.

read more

Citations
More filters
Journal ArticleDOI

Efficient next-best-scan planning for autonomous 3D surface reconstruction of unknown objects

TL;DR: The approach comprises the generation of next-best-scan (NBS) candidates and selection criteria, error minimization between scan patches and termination criteria, and iteratively determined by a boundary detection and surface trend estimation of the acquired model.

Scratching the surface? The use of surface scanning in physical and paleoanthropology

TL;DR: In this paper, surface scanners have gained a prominent place for a variety of reasons that make them useful to anthropologists, such as their ability to quantify phenotypic variation, its non-destructive nature contributes to specimen conservation, and it can become an integral part of virtual anthropology.
Journal ArticleDOI

Design and implementation of practical bidirectional texture function measurement devices focusing on the developments at the University of Bonn.

TL;DR: This work idey a set of necessary attributes and establishes a general categorization of different designs that have been realized, demonstrating advantages and disadvantages of different system designs with respect to the previously established attributes.
Journal ArticleDOI

Towards Automated Large-Scale 3D Phenotyping of Vineyards under Field Conditions

TL;DR: A track-driven vehicle consisting of a camera system, a real-time-kinematic GPS system for positioning, as well as hardware for vehicle control, image storage and acquisition is used to visually capture a whole vine row canopy with georeferenced RGB images.
Proceedings ArticleDOI

Integrated high-quality acquisition of geometry and appearance for cultural heritage

TL;DR: The proposed integrated system for acquiring both the 3D shape and reflectance properties necessary for obtaining a photo-realistic digital replica of a real world object is suitable for the digitization of objects showing the complex reflectance behavior.
References
More filters
Journal ArticleDOI

Distinctive Image Features from Scale-Invariant Keypoints

TL;DR: This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene and can robustly identify objects among clutter and occlusion while achieving near real-time performance.
Journal ArticleDOI

Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography

TL;DR: New results are derived on the minimum number of landmarks needed to obtain a solution, and algorithms are presented for computing these minimum-landmark solutions in closed form that provide the basis for an automatic system that can solve the Location Determination Problem under difficult viewing.

Multiple View Geometry in Computer Vision.

TL;DR: This book is referred to read because it is an inspiring book to give you more chance to get experiences and also thoughts and it will show the best book collections and completed collections.
Proceedings ArticleDOI

A Combined Corner and Edge Detector

TL;DR: The problem the authors are addressing in Alvey Project MMI149 is that of using computer vision to understand the unconstrained 3D world, in which the viewed scenes will in general contain too wide a diversity of objects for topdown recognition techniques to work.
Journal ArticleDOI

Speeded-Up Robust Features (SURF)

TL;DR: A novel scale- and rotation-invariant detector and descriptor, coined SURF (Speeded-Up Robust Features), which approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can be computed and compared much faster.
Related Papers (5)