Adaptive Image Warping for User-Aware Projection Consistency
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Solution Overview
Problem
Existing automated assistants struggle to dynamically adapt projected images and projection parameters based on user pose and environment, leading to inconsistent user perception and inefficient resource usage.
Innovation Solution
Implementing an automated assistant that identifies active users, determines their poses, and applies image warping techniques such as rotation, scaling, and skew adjustment to generate transformed images that maintain consistency and relevance for different viewing angles and distances, while optimizing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the projector projects the same base image onto the wall regardless of user position, then the projection system remains simple and energy-efficient, but the perceived image quality and consistency deteriorate as the user moves within the room
Solution Approach 1:
The patent implements dynamic image transformation by continuously monitoring user pose through sensors and applying real-time geometric transformations (rotation, scaling, skew) to the projected image. This transforms the static projection system into a dynamic one that adapts to user movement, resolving the contradiction between image consistency and system complexity by making the complexity adaptive rather than constant.
Solution Approach 2:
The system employs feedback loops where sensors detect user position and pose, the processor calculates appropriate transformation parameters, and the projector applies these transformations in real-time. This closed-loop feedback mechanism ensures image consistency is maintained while allowing the system to remain relatively simple by only introducing complexity when and where needed based on actual user movement.
2Reliability
If the projector continuously projects transformed images to maintain consistency as the user moves, then image quality remains high, but energy consumption increases due to prolonged and more intensive projection operations
Solution Approach 1:
The patent applies partial transformation by determining transformation parameters only when and to the extent needed based on actual user movement. The system monitors user position and applies image transformations only when the user moves beyond certain thresholds, rather than continuously transforming images regardless of user behavior. This partial action approach maintains image consistency when needed while avoiding unnecessary energy consumption during periods of minimal user movement.
Solution Approach 2:
The system implements periodic reassessment of user pose and transformation needs rather than continuous transformation. By periodically checking user position and only applying transformations when necessary, the system maintains image consistency while reducing overall energy consumption compared to continuous transformation operations.
3Reliability
If the system applies complex image warping transformations to maintain image consistency from different viewing angles, then perceived image quality improves, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary calculations of transformation parameters based on predicted or anticipated user movement patterns. By pre-calculating transformation matrices and preparing transformed image data in advance of actual user movement, the system reduces real-time processing delays while maintaining image consistency. This preliminary action allows the system to maintain high perceived image quality without excessive processing time during actual viewing.
Data Source
AI summary
Implementations relate to dynamic adaptation of images for projection by a projector, based on one or more properties of user(s) that are in an environment with the projector. The projector can be associated with an automated assistant client of a client device. In some versions of those implementations, a pose of a user in the environment is determined and, based on the pose, a base image for projecting onto a surface is warped to generate a transformed image. The transformed image, when projected onto a surface and viewed from the pose of the user, mitigates perceived differences relative to the base image. The base image (on which the transformed image is based) can optionally be generated in dependence on a distance of the user. Some implementations additionally or alternatively relate to dynamic adaptation of projection parameters (e.g., a location for projection, a size of projection) based on one or more properties of user(s) that are in an environment with the projector.