The phrase "indoor objects" is correct and usable in written English.
It can be used to refer to items that are typically found or used inside buildings or enclosed spaces.
Example: "The museum displayed a variety of indoor objects, including furniture, art pieces, and decorative items."
Alternatives: "interior items" or "indoor items".
A Randomized Decision Forest (RDF) is introduced to achieve robust recognition on decomposed indoor objects with raw point data.
Eventually smaller rocks, set in basins or on trays and wooden stands, were adopted as indoor objects, to be placed on desks or shelves for contemplation, like little nuggets of the cosmos.
To decompose sub-scenes into individual indoor objects, we devise an anchor-guided subgraph matching algorithm which leverages template graphs to partition the graphs into subgraphs (i.e., individual objects), which is capable of handling arbitrarily oriented objects within scenes.
Distilled into a large-format slide show for the exhibition, the piece gives everyday indoor objects and figures of people asleep in their beds a magnified, cinematic presence, and makes a plain house look like a kind of giant light-box, dimming and brightening as the seasons change.
This classical example illustrates the impact that combustion derived pollutants have on indoor objects.
A zero, for example, is not felt by pretty much anyone, and indoor objects within buildings don't shake.
In this work, we propose a promising approach using RFID for indoor mobile object tracking.
For this purpose, a high-performance and low-cost ultrasonic system is proposed to measure 3D positions of an indoor mobile object.
Further, we removed from the experiment the test case called AVSSS07 indoor abandoned object easy 4cif (comprised in the second category) because it presents misclassified blobs.
Even if GSM is a legacy technology in terms of telecommunications, it is by far the most extended technology in terms of coverage and redundancy of macrocell stations, where also the lower transmission frequencies allow a better reception in the indoor scenario object of this study.
Our proposed NPCS algorithm was overall evaluated on a variety of input data with varying amount of noise, outliers, and extent of overlap (12-100%), acquired from small objects, indoor and outdoor scenes.
