{"id":2010,"date":"2025-06-12T15:30:23","date_gmt":"2025-06-12T07:30:23","guid":{"rendered":"https:\/\/511cvlab.sinkers.cn\/?p=2010"},"modified":"2026-01-30T13:15:10","modified_gmt":"2026-01-30T05:15:10","slug":"a3-net-calibration-free-multi-view-3d-hand-reconstruction-for-enhanced-musical-instrument-learning","status":"publish","type":"post","link":"https:\/\/cv.nirc.top\/zh\/2025\/a3-net-calibration-free-multi-view-3d-hand-reconstruction-for-enhanced-musical-instrument-learning\/","title":{"rendered":"A3-Net: Calibration-Free Multi-View 3D Hand Reconstruction for Enhanced Musical Instrument Learning"},"content":{"rendered":"<div class=\"wp-block-group has-global-padding is-layout-constrained wp-container-core-group-is-layout-f00c8009 wp-block-group-is-layout-constrained\" style=\"padding-right:5%;padding-left:5%\">\n<p class=\"has-text-align-center\">State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69f8c0f7e7cd7&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69f8c0f7e7cd7\" class=\"wp-block-image aligncenter size-large is-resized wp-lightbox-container\"><img decoding=\"async\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/sinkers-pic.oss-cn-beijing.aliyuncs.com\/img\/ijcai25_main.png\" alt=\"\" style=\"width:560px\"\/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"\u653e\u5927\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">Extrinsic-calibration-free multi-view 3D hand reconstruction for musical instrument playing in everyday scenario. Players can capture multi-view data using their daily devices, which can be either fixed or handheld.<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Abstract<\/h2>\n\n\n\n<p>Precise 3D hand posture is essential for learning musical instruments. Reconstructing highly precise 3D hand gestures enables learners to correct and master proper techniques through 3D simulation and Extended Reality. However, exsiting methods typically rely on precisely calibrated multicamera systems, which are not easily deployable in everyday environments. In this paper, we focus on calibration-free multi-view 3D hand reconstruction in unconstrained scenarios. Establishing correspondences between multi-view images is particularly challenging without camera extrinsics. To address this, we propose A<sup>3<\/sup>-Net, a multi-level alignment framework that utilizes 3D structural representations with hierarchical geometric and explicit semantic information as alignment proxies, facilitating multi-view feature interaction in both 3D geometric space and 2D visual space. Specifically, we first perfrom global geometric alignment to map multi-view features into a canonical space. Subsequently, we aggregate information into predefined sparse and dense proxies to further integrate cross-view semantics through mutual interaction. Finnaly, we perfrom 2D alignment to align projected 2D visual features with 2D observations. Our method achieves state-of-the-art results in task of multi-view 3D hand reconstruction, demonstrating the effectiveness of the proposed framework.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Video<\/h2>\n\n\n<div style=\"text-align: center;\">\n  <iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/XQ_T1Ngxu9E?si=WMZjXH8hnrzRg4an\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Overview<\/h2>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69f8c0f7e82b2&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69f8c0f7e82b2\" class=\"wp-block-image aligncenter size-large wp-lightbox-container\"><img decoding=\"async\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/sinkers-pic.oss-cn-beijing.aliyuncs.com\/img\/ijcai25_overview.png\" alt=\"\"\/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"\u653e\u5927\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">Comparison with other methods (a) and overview of the proposed alignment-proxy based A<sup>3<\/sup>-Net (b), which leverages predefined alignment proxies (meshes and joints) to build multi-view feature correspondence semantically and geometrically. It first leverages an encoder-decoder model for initial hand pose estimation and 2D visual feature extraction within each view. Geometric alignment are applied on meshes and joints to project them into the canonical space. Finally, it iteratively adopts multi-view feature alignment in both 3D point cloud space and 2D image space. For simplicity, only one iteration is shown.<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Comparison with SOTA<\/h2>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69f8c0f7e86bf&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69f8c0f7e86bf\" class=\"wp-block-image size-large wp-lightbox-container\"><img decoding=\"async\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/sinkers-pic.oss-cn-beijing.aliyuncs.com\/img\/ijcai25_Comparison%20with%20SOTA1.png\" alt=\"\"\/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"\u653e\u5927\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div>\n\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications Abstract Precise 3D hand posture is essential for learning musical instruments. Reconstructing highly precise 3D hand gestures enables learners to correct and master proper techniques through 3D simulation and Extended Reality. However, exsiting methods typically rely on precisely calibrated multicamera systems, [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":2015,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[17],"tags":[],"class_list":["post-2010","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-rgb-based-3d-hand-pose-estimation"],"acf":{"writer":{"simple_value_formatted":"<code><em>This data type is not supported! 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