What is multi-view imaging?

What is multi-view imaging?

Multiview imaging is a 3D imaging method that uses N elemental images to reconstruct the object.

What is the goal of multi-view stereo?

The goal of multi-view stereo is to reconstruct a com- plete 3D object model from a collection of images taken from known camera viewpoints. Over the last few years, a number of high-quality algorithms have been developed, and the state of the art is improving rapidly.

What is MVS Photogrammetry?

The structure from motion multiview stereo (SfM-MVS) photogrammetric method was used to measure the raindrops impact on the soil surface. The images were processed using Agisoft PhotoScan, resulting in orthophotos and digital elevation models (DEMs) with a resolution of 0.1 mm/pix.

What is reconstruction in computer vision?

In computer vision and computer graphics, 3D reconstruction is the process of capturing the shape and appearance of real objects. This process can be accomplished either by active or passive methods. If the model is allowed to change its shape in time, this is referred to as non-rigid or spatio-temporal reconstruction.

What is the difference between photogrammetry and structure from motion?

Unlike traditional photogrammetry, the camera positions derived from SfM lack the scale and orientation provided by ground-control coordinates. Consequently, the 3-D point clouds are generated in a relative ‘image-space’ coordinate system, which must be aligned to a real-world, ‘object-space’ co-ordinate system.

How are 3D images reconstructed?

3D reconstruction applies two traditional methods such as structure from motion (SFM) [1], Multi View Stereo (MVS) [2]. These methods deal with the various camera calibrations to compute the camera properties with the reference of small baseline differences obtained by the multiple views of the images.

Can multiple view stereo be applied to 3D outdoor scene mapping using satellite imagery?

In this work, we provide a public benchmark data set for multiple view stereo applied to 3D outdoor scene mapping using commercial satellite imagery. This data set includes DigitalGlobe WorldView-3 panchromatic and multispectral images of a 100 square kilometer area near San Fernando, Argentina.

How to integrate multiple views in a 3D image?

The dominant paradigm for integrating multiple views has been to leverage stereopsis, i.e. if a point in the 3D world is viewed from multiple viewpoints, its location in 3D can be determined by triangulating its projections in the respective views.

Is this data supported by the IARPA Multi-view stereo 3D mapping challenge?

This data supported the IARPA Multi-View Stereo 3D Mapping Challenge and is now made publicly available with no restrictions to support continued research.