An efficient local stereo matching method based on an adaptive exponentially weighted moving average filter in SLIC space
Summary
An efficient local stereo matching method based on an adaptive exponentially weighted moving average filter in SLIC space is a scholarly article[1].
Key Facts
An efficient local stereo matching method based on an adaptive exponentially weighted moving average filter in SLIC space's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). An efficient local stereo matching method based on an adaptive exponentially weighted moving average filter in SLIC space. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-local-stereo-matching-method-based-on-an-adaptive-exponentially-weighted-moving-average-filter-in-slic-spac
MLA“An efficient local stereo matching method based on an adaptive exponentially weighted moving average filter in SLIC space.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-local-stereo-matching-method-based-on-an-adaptive-exponentially-weighted-moving-average-filter-in-slic-spac.
BibTeX@misc{4ortxyz_an-efficient-local-stereo-matching-method-based-on-an-adaptive-exponentially-weighted-moving-average-filter-in-slic-spac_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient local stereo matching method based on an adaptive exponentially weighted moving average filter in SLIC space}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-local-stereo-matching-method-based-on-an-adaptive-exponentially-weighted-moving-average-filter-in-slic-spac}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An efficient local stereo matching method based on an adaptive exponentially weighted moving average filter in SLIC space — https://4ort.xyz/entity/an-efficient-local-stereo-matching-method-based-on-an-adaptive-exponentially-weighted-moving-average-filter-in-slic-spac (retrieved 2026-05-24)