Qualcomm · Filed Jan 21, 2025 · Published Jul 23, 2026 · verified — real USPTO data

Qualcomm Patents Technology for Lifelike 3D Scenes Viewable from Any Angle

Qualcomm has filed a patent for a system that can take depth and color data from a scene, break it into chunks, and figure out exactly how that scene should look from any camera angle, including ones that were never photographed.

Qualcomm Patent: 3D Scene Reconstruction from Any Viewpoint — figure from US 2026/0212583 A1
Figure from the official USPTO publication.
Publication number US 2026/0212583 A1
Applicant QUALCOMM Incorporated
Filing date Jan 21, 2025
Publication date Jul 23, 2026
Inventors Mehul ARORA, Upal MAHBUB, Adithya Reddy NALLABOLU, Pirazh KHORRAMSHAHI, Gokce DANE
CPC classification 345/419
Grant likelihood Medium
Examiner WEI, XIAOMING (Art Unit 2611)
Status Docketed New Case - Ready for Examination (Feb 26, 2025)
Document 20 claims

What Qualcomm's block-based 3D reconstruction actually does

Imagine you're scanning a room with your phone's camera. You capture it from a few different spots, but later you want to see how it looks from a corner you never actually filmed. Normally, you'd be out of luck. Qualcomm's patented system is designed to solve exactly that problem.

The system chops the scene into small 3D chunks (like tiny cubes filling the space), then figures out how light and color in each chunk would change depending on where you're looking from. It stores that lighting information efficiently so it can reconstruct a believable image from any viewpoint on demand.

The result is a 3D texture map that makes virtual recreations of real places look correct no matter which direction a virtual camera is pointed. Think of it as giving a computer enough information about a space that it can convincingly fake being there from angles it never actually saw.

How voxel blocks and spherical harmonics handle shifting light

The patent describes a pipeline with four main steps:

  • Voxel block selection: The system uses depth data (distance measurements from a depth sensor or camera) and pose data (where the camera was pointed and positioned) to divide the scene into a grid of 3D cubes called voxels. Only the relevant blocks are selected, keeping computation focused.
  • Spherical harmonic coefficient calculation: For each voxel block, the system computes a set of mathematical values called spherical harmonic coefficients. Think of these as a compact way to encode how the color of a surface changes depending on what direction you view it from, the same wall looks slightly different at a glancing angle versus head-on, and these coefficients capture that variation.
  • Per-direction color resolution: Given a specific viewing direction, the system reads back the appropriate color value from those stored coefficients for each block. This lets it reconstruct what the block would look like from that angle without re-scanning anything.
  • 3D texture map generation: All those per-block color values are assembled into a full 3D texture map, which is essentially a complete description of how the scene's surfaces are colored from any viewpoint.

The approach is block-based rather than per-pixel, which keeps memory use manageable and makes it practical to run on devices with limited hardware, including mobile chipsets.

What this means for AR, gaming, and on-device 3D capture

For augmented reality and spatial computing, the ability to render a real captured scene accurately from arbitrary viewpoints is a core unsolved problem at the device level. Most high-quality solutions today require powerful server-side processing or large neural networks. Qualcomm's block-based approach is explicitly designed to be efficient enough for a computing device, which in Qualcomm's world typically means a Snapdragon-powered phone, headset, or XR device.

If this lands in a shipping product, it could mean your phone or AR glasses can build and display photorealistic 3D models of real spaces on the fly, without sending your data to the cloud. That matters for privacy, latency, and for making AR experiences that actually look right when you move your head.

Editorial take

This is a technically solid patent in a genuinely competitive space, Google, Meta, and Apple are all racing toward on-device 3D scene reconstruction. Qualcomm's angle here is efficiency: by chunking scenes into voxel blocks and using spherical harmonics instead of heavier neural representations, they're betting on a leaner path to the same goal. Whether it's meaningfully differentiated from existing approaches like NeRF-lite systems is the real question, but for a chipmaker trying to put this capability directly on mobile hardware, the direction makes sense.

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Source. Full patent text and figures from the official USPTO publication PDF.

Editorial commentary on a publicly published patent application. Not legal advice.