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New pipeline recognizes objects from human pointing gestures

By PulseAugur Editorial · [1 sources] ·

This paper introduces a new pipeline for recognizing objects indicated by human pointing gestures in RGB images. The system combines object detection, pose estimation, depth estimation, and vision-language models to identify targets of non-verbal communication. Experiments show that incorporating 3D spatial information from a single image enhances target identification, particularly in cluttered scenes, and that image captioning can help correct classification errors. AI

IMPACT This research could lead to more intuitive human-robot interaction by enabling robots to understand pointing gestures.

RANK_REASON This is a research paper detailing a new technical approach. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New pipeline recognizes objects from human pointing gestures

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This is a research paper detailing a new technical approach. [lever_c_demoted from research: ic=1 ai=1.0]
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84 days old
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Luk\'a\v{s} Hajd\'uch, Viktor Kocur ·

    Pointing-Based Object Recognition

    arXiv:2603.15403v2 Announce Type: replace Abstract: This paper presents a comprehensive pipeline for recognizing objects targeted by human pointing gestures using RGB images. As human-robot interaction moves toward more intuitive interfaces, the ability to identify targets of non…

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