Surveying and measurement methods and devices

Abstract

The present invention relates to devices and methods for generating surveys of interior and exterior locations using image capture devices associated with image processing techniques suitable to allow survey and measurement information and where such survey and measurement information can optionally be further processed. Such survey and measurement information relating to interior and exterior locations can be used in applications such as construction / remodeling estimation, 3D model generation, insurance policy underwriting and adjusting, interior design efforts, landscaping, real estate marketing, inventory management and other areas where it can be desirable to obtain information about features and dimensions of one or more features or objects present in the location

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application claims priority to U.S. Provisional Application No. 62 / 165,995, filed May 24, 2015. This application also claims priority to PCT Application No. PCT / US15 / 56752, filed Oct. 21, 2015. The disclosures of each of these applications are incorporated herein by reference in their entireties.FIELD OF THE INVENTION[0002]The present invention relates to devices and methods for generating surveys of interior and exterior locations using image capture devices associated with image processing techniques suitable to allow survey and measurement information and where such survey and measurement information can optionally be further processed. Such survey and measurement information can be used in applications such as construction / remodeling estimation, 3D model generation, insurance policy underwriting and adjusting, interior design efforts, landscaping, real estate marketing, inventory management and other areas where it can be desirab...

AI Technical Summary

Problems solved by technology

Imaging of interior and ground level (or substantially ground level) exterior scenes to generate data for accurate scene reconstructions using existing methodologies provides additional difficulties in extracting detail therefrom.

Furthermore, reconstructing a floorplan or extracting information requiring measurement accuracy from datasets derived from images of interior scenes can typically include large degrees of variability and ambiguity (e.g., noisy data), each of which makes it problematic to generate survey-quality information using such images.

Lighting can also be problematic.

Comparably, outdoor scenes at ground level often comprise aspects that will serve to clutter the view and make it difficult to resolve various salient details from the scene.

In areas where structures are located close together, it can be more difficult to extract features associated specifically with the structure of interest from images taken at ground level or thereabouts, whereas when aerial views of those same structures will demonstrate distinctions between the roofs that will generally allow the individual structures to be identified from above.

Because of the difficulties in generating accurate scene reconstructions of interior scenes and ground level exterior scenes using existing computer vision methods, information regarding many interior and exterior scenes are often still mainly generated primarily by hand.

However, a physical measurement capture step is still required, even though the data capture step itself may be faster.

In short, whether conducted by physically measuring the space with a measuring tape or a laser scanning tool, the measurement aspect of the process takes considerable time and at least some degree of experience in measurement to ensure that accurate data is obtained.

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