{"id":23863,"date":"2026-07-10T10:00:21","date_gmt":"2026-07-10T01:00:21","guid":{"rendered":"https:\/\/www.lp-research.com\/?p=23863"},"modified":"2026-07-10T14:10:52","modified_gmt":"2026-07-10T05:10:52","slug":"lpvision-headpose-tracker-markerless-6dof-motion-capture","status":"publish","type":"post","link":"https:\/\/www.lp-research.com\/ja\/lpvision-headpose-tracker-markerless-6dof-motion-capture\/","title":{"rendered":"LPVISION-HeadPose Tracker: Simplifying Head Tracking for AI-Driven Spatial Computing"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row css=&#8221;.vc_custom_1438929710416{padding-top: 45px !important;padding-right: 5px !important;padding-bottom: 35px !important;padding-left: 5px !important;}&#8221;][vc_column css=&#8221;.vc_custom_1438928408587{padding-top: 0px !important;padding-right: 0px !important;padding-bottom: 0px !important;padding-left: 0px !important;}&#8221; offset=&#8221;vc_col-xs-12&#8243;][vc_column_text css=&#8221;&#8221;]<\/p>\n<p>[\/vc_column_text][vc_video link=&#8221;https:\/\/vimeo.com\/1178722680\/4d7f4b836f&#8221; css=&#8221;&#8221;][vc_column_text css=&#8221;&#8221;]<\/p>\n<p data-path-to-node=\"9\">Recently, at LP-Research, we have been working to simplify AI-driven spatial computing through a reliable, markerless head-tracking solution. The LPVISION-HeadPose Tracker is the result: an advanced 6DOF system that uses a standard RGB camera and advanced AI. By doing so, it eliminates the need for infrared (IR) camera arrays, reflective markers, or tracking hats.<\/p>\n<p data-path-to-node=\"10\"><span style=\"font-weight: 400;\">To ensure the experience feels fluid and responsive, the system utilizes specialized digital smoothing. <\/span> This provides stable, high-precision tracking that feels natural\u2014without the lag or jitter typically associated with webcam-based setups.<\/p>\n<p>[\/vc_column_text][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2><span style=\"font-weight: 400;\">What is the LPVISION-HeadPose Tracker?<\/span><\/h2>\n<p>[\/vc_column_text][vc_column_text css=&#8221;&#8221;]<span style=\"font-weight: 400;\">At its core, the <em>LPVISION-HeadPose Tracker<\/em> is an intelligent software engine that understands how a user moves their head in real-time. Instead of relying on physical markers or heavy external sensors, it uses advanced AI to interpret natural facial structures and head movements through a standard RGB camera.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Moreover, the tracker is a core component of the <a href=\"https:\/\/www.lp-research.com\/products\/vr-ar-tracking-solutions-lpvr\/lpvr-pos\/\">LPVIZ<\/a> ecosystem. In this capacity, <\/span><span style=\"font-weight: 400;\">it serves as a plug-and-play replacement for complex IR-based tracking setups, allowing users to access the full capability of <em>LPVIZ<\/em> with a significantly reduced hardware footprint.<\/span>[\/vc_column_text][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2>Key Advantages Over Traditional IR Tracking<\/h2>\n<p>[\/vc_column_text][vc_single_image image=&#8221;24038&#8243; img_size=&#8221;large&#8221; css=&#8221;&#8221;][vc_column_text css=&#8221;&#8221;]<span style=\"font-weight: 400;\">Historically, traditional high-quality motion capture has required bulky infrared camera arrays, room-scale calibration, and intrusive reflective markers or tracking hats. However, the <em>LPVISION-HeadPose Tracker<\/em> changes the equation across four key dimensions:<\/span><\/p>\n<ul>\n<li>\n<h3>Markerless Operation via Facial Landmark Detection<\/h3>\n<\/li>\n<\/ul>\n<p style=\"padding-left: 40px;\">First, the system utilizes AI-powered facial landmark detection and Computer Vision techniques to track head orientation and position continuously. Because of this, there is no rigid bodies, no reflective markers, and no physical contact with tracking gear required. Ultimately, this creates a non-intrusive experience.<\/p>\n<ul>\n<li>\n<h3>Single RGB Camera Replaces Multi-Camera IR Arrays<\/h3>\n<\/li>\n<\/ul>\n<p style=\"padding-left: 40px;\"><span style=\"font-weight: 400;\">Additionally, we have replaced expensive, multi-camera IR setups with a single, compact RGB camera \u2014 such as the <a href=\"https:\/\/www.stereolabs.com\/en-jp\/products\/zed-2\">Stereolabs ZED camera line<\/a><\/span><span style=\"font-weight: 400;\">. Therefore, this dramatically reduces hardware cost and physical setup complexity, while maintaining the precision required for industrial and spatial computing applications.<\/span><\/p>\n<ul>\n<li>\n<h3>Zero-Contact Setup and Instant Deployment<\/h3>\n<\/li>\n<\/ul>\n<p style=\"padding-left: 40px;\"><span style=\"font-weight: 400;\">Furthermore, you can go from zero to tracking instantly. In fact, there is no room-scale calibration, no physical mounting of tracking gear on the user, and no warm-up procedure needed. Consequently, the natural user experience means deployment in the field is as simple as launching the software.<\/span><\/p>\n<ul>\n<li>\n<h3>Optimal for Vehicle-in-the-Loop and Cockpit Environments<\/h3>\n<\/li>\n<\/ul>\n<p style=\"padding-left: 40px;\"><span style=\"font-weight: 400;\">Finally, unlike stationary IR camera arrays, this tracker is engineered for dynamic environments. Particularly, it is optimal for <a href=\"https:\/\/www.lp-research.com\/revolutionizing-ad-adas-testing-vr-enhanced-vehicle-in-the-loop\/\">vehicle-in-the-loop (ViL) testing<\/a> and flight cockpit applications \u2014 scenarios where traditional IR-based systems are difficult to setup due to limited space and dynamic lighting conditions.<\/span><\/p>\n<p>[\/vc_column_text][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2>System Performance at a Glance<\/h2>\n<div class=\"tableView-content-wrap\" data-prosemirror-initial-todom-render=\"true\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"table\" data-prosemirror-node-block=\"true\" data-pm-slice=\"0 0 []\">\n<div data-testid=\"table-alignment-container\">\n<div class=\"pm-table-resizer-container\">\n<div class=\"resizer-item display-handle\">\n<div class=\"pm-table-container\" data-number-column=\"false\" data-layout=\"default\" data-testid=\"table-container\">\n<div class=\"pm-table-wrapper\">\n<p>[\/vc_column_text][vc_column_text css=&#8221;&#8221;]<\/p>\n<div class=\"pm-table-wrapper\">\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">The table below summarizes a comparison between <em>LPVISION-HeadPose Tracker<\/em> and Traditional Marker-Based Systems:\u00a0<\/span><\/p>\n<table data-number-column=\"false\" data-layout=\"default\" data-autosize=\"false\" data-table-local-id=\"3a3e40ad-7c2a-450b-a38b-d2ed295a53d5\" data-table-width=\"760\" data-ssr-placeholder=\"table-3a3e40ad-7c2a-450b-a38b-d2ed295a53d5\" data-ssr-placeholder-replace=\"table-3a3e40ad-7c2a-450b-a38b-d2ed295a53d5\">\n<colgroup>\n<col \/>\n<col \/>\n<col \/><\/colgroup>\n<tbody>\n<tr data-local-id=\"d147faf1-6830-4581-a1f6-0f2b20e6e3b1\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"tableRow\" data-prosemirror-node-block=\"true\">\n<td class=\"pm-table-cell-content-wrap\" data-colwidth=\"148\" data-cell-background=\"#efefef\" data-local-id=\"00c4fd55-c409-4dde-9a1b-9278ec11c76c\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"tableCell\" data-prosemirror-node-block=\"true\">\n<p data-local-id=\"6b0efc9af130\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"paragraph\" data-prosemirror-node-block=\"true\"><em><strong data-prosemirror-content-type=\"mark\" data-prosemirror-mark-name=\"strong\">Feature<\/strong><\/em><\/p>\n<\/td>\n<td class=\"pm-table-cell-content-wrap\" data-colwidth=\"291\" data-cell-background=\"#efefef\" data-local-id=\"f04bbdbb-b1c6-4f52-963f-93a96db9b616\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"tableCell\" data-prosemirror-node-block=\"true\">\n<p data-local-id=\"97e9b9689a75\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"paragraph\" data-prosemirror-node-block=\"true\"><em><strong data-prosemirror-content-type=\"mark\" data-prosemirror-mark-name=\"strong\">LPVISION-HeadPose Tracker<\/strong><\/em><\/p>\n<\/td>\n<td class=\"pm-table-cell-content-wrap\" data-colwidth=\"318\" data-cell-background=\"#efefef\" data-local-id=\"f942622e-b2b2-4a8a-a0fa-11a08d60d078\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"tableCell\" data-prosemirror-node-block=\"true\">\n<p data-local-id=\"73b2e19e595e\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"paragraph\" data-prosemirror-node-block=\"true\"><em><strong data-prosemirror-content-type=\"mark\" data-prosemirror-mark-name=\"strong\">Marker-Based\u00a0 Tracking Systems<\/strong><\/em><\/p>\n<\/td>\n<\/tr>\n<tr data-local-id=\"0d19c29b-48e8-41b7-9413-070470368925\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"tableRow\" data-prosemirror-node-block=\"true\">\n<td class=\"pm-table-cell-content-wrap\" data-colwidth=\"148\" data-local-id=\"32308d32-8e7d-4e2e-82a3-f79c625c502e\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"tableCell\" data-prosemirror-node-block=\"true\">\n<p data-local-id=\"cf62c7b514c5\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"paragraph\" data-prosemirror-node-block=\"true\"><strong data-prosemirror-content-type=\"mark\" data-prosemirror-mark-name=\"strong\">Setup effort<\/strong><\/p>\n<\/td>\n<td class=\"pm-table-cell-content-wrap\" data-colwidth=\"291\" data-local-id=\"dd1de8cc-a734-483e-a7cc-a0e3e8484f31\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"tableCell\" data-prosemirror-node-block=\"true\">\n<p data-local-id=\"ef5254c3cfc7\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"paragraph\" data-prosemirror-node-block=\"true\"><span style=\"color: #000000;\"><em data-prosemirror-content-type=\"mark\" data-prosemirror-mark-name=\"em\">Instant<\/em><\/span> &#8211; No markers needed<\/p>\n<\/td>\n<td class=\"pm-table-cell-content-wrap\" data-colwidth=\"318\" data-local-id=\"e921638f-a6ad-4394-8207-064267f3f34c\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"tableCell\" data-prosemirror-node-block=\"true\">\n<p data-local-id=\"9a297466d553\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"paragraph\" data-prosemirror-node-block=\"true\"><span style=\"color: #000000;\"><em data-prosemirror-content-type=\"mark\" data-prosemirror-mark-name=\"em\">High<\/em> <\/span>&#8211; Requires reflective markers &amp; calibration<\/p>\n<\/td>\n<\/tr>\n<tr data-local-id=\"7dab000f-3c82-445e-91be-d092ffb36fd1\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"tableRow\" data-prosemirror-node-block=\"true\">\n<td class=\"pm-table-cell-content-wrap\" data-colwidth=\"148\" data-local-id=\"3a693417-23ff-4c55-b7c9-37104144cdcb\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"tableCell\" data-prosemirror-node-block=\"true\">\n<p data-local-id=\"841b90f8a8f1\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"paragraph\" data-prosemirror-node-block=\"true\"><strong data-prosemirror-content-type=\"mark\" data-prosemirror-mark-name=\"strong\">User experience<\/strong><\/p>\n<\/td>\n<td class=\"pm-table-cell-content-wrap\" data-colwidth=\"291\" data-local-id=\"2f65a43a-675c-4650-8750-6dd89e17122e\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"tableCell\" data-prosemirror-node-block=\"true\">\n<p data-local-id=\"16c5229a3a9f\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"paragraph\" data-prosemirror-node-block=\"true\"><span style=\"color: #000000;\"><em data-prosemirror-content-type=\"mark\" data-prosemirror-mark-name=\"em\">Natural<\/em><\/span> &#8211; No physical contact with gear<\/p>\n<\/td>\n<td class=\"pm-table-cell-content-wrap\" data-colwidth=\"318\" data-local-id=\"f72f207f-cc31-46cb-b462-9e8c6b9f6e9a\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"tableCell\" data-prosemirror-node-block=\"true\">\n<p data-local-id=\"763a6d93aab3\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"paragraph\" data-prosemirror-node-block=\"true\"><span style=\"color: #000000;\"><em data-prosemirror-content-type=\"mark\" data-prosemirror-mark-name=\"em\">Intrusive<\/em> <\/span>&#8211; Users must wear tracking gear<\/p>\n<\/td>\n<\/tr>\n<tr data-local-id=\"62856daf-c7f1-42c1-8212-98f55dee76bc\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"tableRow\" data-prosemirror-node-block=\"true\">\n<td class=\"pm-table-cell-content-wrap\" data-colwidth=\"148\" data-local-id=\"bcc15868-6242-4b79-9612-fb4eeadb8ae5\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"tableCell\" data-prosemirror-node-block=\"true\">\n<p data-local-id=\"bcc3cdca4def\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"paragraph\" data-prosemirror-node-block=\"true\"><strong data-prosemirror-content-type=\"mark\" data-prosemirror-mark-name=\"strong\">Accuracy<\/strong><\/p>\n<\/td>\n<td class=\"pm-table-cell-content-wrap\" data-colwidth=\"291\" data-local-id=\"a45f8376-1b21-43a5-887c-52b403218879\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"tableCell\" data-prosemirror-node-block=\"true\">\n<p data-local-id=\"5ca34b0218f9\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"paragraph\" data-prosemirror-node-block=\"true\"><span style=\"color: #000000;\"><em data-prosemirror-content-type=\"mark\" data-prosemirror-mark-name=\"em\">High<\/em> <\/span>&#8211; Sub-cm error<\/p>\n<\/td>\n<td class=\"pm-table-cell-content-wrap\" data-colwidth=\"318\" data-local-id=\"b670fa0a-6c9d-4aeb-8428-2f8a31b4a548\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"tableCell\" data-prosemirror-node-block=\"true\">\n<p data-local-id=\"4a4f18f76c68\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"paragraph\" data-prosemirror-node-block=\"true\"><span style=\"color: #000000;\"><em data-prosemirror-content-type=\"mark\" data-prosemirror-mark-name=\"em\">Gold standard<\/em> <\/span>&#8211; Sub-millimeter error<\/p>\n<\/td>\n<\/tr>\n<tr data-local-id=\"8253e39f-4ca1-48b0-bee5-a8b328f53eda\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"tableRow\" data-prosemirror-node-block=\"true\">\n<td class=\"pm-table-cell-content-wrap\" data-colwidth=\"148\" data-local-id=\"33eadce6-c3a3-45df-a331-330eb87c097d\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"tableCell\" data-prosemirror-node-block=\"true\">\n<p data-local-id=\"a7d6fc6acc62\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"paragraph\" data-prosemirror-node-block=\"true\"><strong data-prosemirror-content-type=\"mark\" data-prosemirror-mark-name=\"strong\">Cost<\/strong><\/p>\n<\/td>\n<td class=\"pm-table-cell-content-wrap\" data-colwidth=\"291\" data-local-id=\"a4da0456-68d0-4274-99d9-aa333a4aff86\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"tableCell\" data-prosemirror-node-block=\"true\">\n<p data-local-id=\"fa87a82af1b5\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"paragraph\" data-prosemirror-node-block=\"true\"><span style=\"color: #000000;\"><em data-prosemirror-content-type=\"mark\" data-prosemirror-mark-name=\"em\">Affordable<\/em><\/span> &#8211; Standard RGB camera + software<\/p>\n<\/td>\n<td class=\"pm-table-cell-content-wrap\" data-colwidth=\"318\" data-local-id=\"b39bfec2-8978-4aee-942b-ba9c4f7b65de\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"tableCell\" data-prosemirror-node-block=\"true\">\n<p data-local-id=\"a488b4d4d1b7\" data-prosemirror-content-type=\"node\" data-prosemirror-node-name=\"paragraph\" data-prosemirror-node-block=\"true\"><span style=\"color: #000000;\"><em data-prosemirror-content-type=\"mark\" data-prosemirror-mark-name=\"em\">Enterprise<\/em> <\/span>-Specialized IR camera + software<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div class=\"pm-table-sticky-sentinel-bottom\" data-testid=\"sticky-sentinel-bottom\"><\/div>\n<p>[\/vc_column_text][vc_column_text css=&#8221;&#8221;]<\/p><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2>See It in Action<\/h2>\n<p>[\/vc_column_text][vc_column_text css=&#8221;&#8221;]<\/p>\n<p><span style=\"font-weight: 400;\">For a practical demonstration, the video below demonstrates real-time markerless head tracking using the <em>LPVISION-HeadPose Tracker<\/em> with a standard RGB camera in a live environment.<\/span><\/p>\n<p>[\/vc_column_text][vc_video link=&#8221;https:\/\/vimeo.com\/1178728970\/544fca31bd&#8221; css=&#8221;&#8221;][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2>Designed for AR Glass-Style HMDs<\/h2>\n<p>[\/vc_column_text][vc_column_text css=&#8221;&#8221;]Naturally, to maintain the highest level of accuracy, the <em>LPVISION-HeadPose Tracker<\/em> requires a clear line of sight to the user&#8217;s facial features. Therefore, this makes it the ideal companion for AR glass-style HMDs \u2014 sleek, open-face augmented reality devices where user comfort and natural interaction are the priority. <i><span style=\"font-weight: 400;\">For tracking standard VR headsets, please <\/span><\/i>refer to our <strong><em><a href=\"https:\/\/www.lp-research.com\/products\/vr-ar-tracking-solutions-lpvr\/\">LPVR product<\/a> <\/em><\/strong>line.[\/vc_column_text][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2>Integration with the LPVIZ Ecosystem<\/h2>\n<p>[\/vc_column_text][vc_column_text css=&#8221;&#8221;]<\/p>\n<p><span style=\"font-weight: 400;\">In addition, the <em>LPVISION-HeadPose Tracker<\/em> is a cornerstone of the <em>LPVIZ<\/em> platform<\/span><span style=\"font-weight: 400;\">. It is designed to act as a drop-in replacement for complex IR-based tracking setups, thereby enabling your team to enjoy the full power of <em>LPVIZ<\/em> with a significantly reduced hardware footprint.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ultimately, by reducing the time and cost of industrial prototyping, we empower engineering and research teams to focus on innovation rather than calibration. Specifically, the tracker integrates directly into our existing <em>LPVIZ<\/em> workflow with no additional configuration required.<\/span><\/p>\n<p>[\/vc_column_text][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2>Ready to Transition to Markerless Tracking?<\/h2>\n<p>[\/vc_column_text][vc_column_text css=&#8221;&#8221;]<\/p>\n<p><span style=\"font-weight: 400;\">In conclusion, if you are building advanced AR or spatial computing systems and need precise, low-latency tracking that works in the real world, the <em>LPVISION-HeadPose Tracker<\/em> is ready for deployment.\u00a0<\/span><strong><a href=\"https:\/\/www.lp-research.com\/company\/contact\/\">Contact our team<\/a> <\/strong>today to schedule a live technical demo or to discuss how the<strong> LPVISION<\/strong> and <strong>LPVIZ<\/strong> systems can be integrated into your existing workflow.<\/p>\n<p>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row css=&#8221;.vc_custom_1438929710416{padding-top: 45px !important;padding-right: 5px !important;padding [&hellip;]<\/p>\n","protected":false},"author":177,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[4,48,49],"tags":[],"class_list":["post-23863","post","type-post","status-publish","format-standard","hentry","category-blog","category-product","category-projects"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.1 (Yoast SEO v24.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>LPVISION-HeadPose Tracker: Markerless 6DOF Motion Capture<\/title>\n<meta name=\"description\" content=\"LPVISION-HeadPose Tracker delivers 6DOF markerless head tracking via a single RGB camera \u2014 no markers, no IR arrays. Plug-and-play AI tracking for AR and spatial computing.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.lp-research.com\/lpvision-headpose-tracker-markerless-6dof-motion-capture\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"LPVISION-HeadPose Tracker: Simplifying Head Tracking for AI-Driven Spatial Computing\" \/>\n<meta property=\"og:description\" content=\"LPVISION-HeadPose Tracker delivers 6DOF markerless head tracking via a single RGB camera \u2014 no markers, no IR arrays. 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