Infrared image algorithm development and equipment adaptation

Geometric, cross-spectral registration and multi-sensor fusion infrared algorithm development services

Covering a total of 20 algorithms or engineering workflows from I041 to I060, it provides needs assessment, special implementation, SDK/API, platform adaptation and test acceptance for enterprise projects.

Submit project information · Get evaluation Return to all algorithm catalogs

Classification scope and enterprise project entrance

Algorithm numberI041–I060

Service content20 algorithmic or engineering workflows

Main contentThe infrared camera is internally involved in distortion calibration, RGB-IR is externally involved in rigid body relationship calibration, planar homography cross-spectral registration, and mutual information cross-spectral rigid registration.

Delivery methodPhased evaluation, algorithm/model, SDK/API, deployment and test records

Specific algorithm development services

Participate in distortion calibration in infrared camera

Input: Multi-pose image of infrared calibration plate

Output: intrinsic parameters, distortion and reprojection errors

Universal foundation can be reused, requiring infrared adaptation

View service details →I042

RGB-IR External participation in rigid body relationship calibration

Input: Synchronous dual-cursor calibration map

Output: external parameters, field of view overlap and error

Need to be evaluated according to project conditions

View service details →I043

Planar Homography Cross-Spectral Registration

Input: Two-light plane scene

Output: Homography matrix and registration error

Universal foundation can be reused, requiring infrared adaptation

View service details →I044

Mutual information cross-spectral rigid registration

Input: RGB/IR image

Output: rigid or affine transformation

Requires project-specific development and validation

View service details →I045

Gradient, edge and contour cross-spectral registration

Input: bifocal image

Output: registration transformation and edge error

Universal foundation can be reused, requiring infrared adaptation

View service details →I046

Cross-spectral feature point and descriptor matching

Input: bifocal image

Output: matching points, transformations and interior point rates

Requires project-specific development and validation

View service details →I047

Dense cross-spectral optical flow

Input: sync video

Output: pixel displacement field and confidence

Need to be evaluated according to project conditions

View service details →I048

Deformable target cross-spectral registration

Input: human body/software/close range dual light

Output: non-rigid deformation field

Requires project-specific development and validation

View service details →I049

Dual-optical time synchronization deviation estimation

Input: Dual video/trigger

Output: Time offset, jitter and drift

Universal foundation can be reused, requiring infrared adaptation

View service details →I050

Online registration drift detection

Input: Long-duration dual-light video

Output: Offset trends and recalibration alarms

Universal foundation can be reused, requiring infrared adaptation

View service details →I051

Pixel-level infrared-visible light fusion

Input: registered dual light

Output: fused display plot and quality score

Requires project-specific development and validation

View service details →I052

Pyramid, wavelet and saliency fusion

Input: registered dual light

Output: multi-scale fusion map

Requires project-specific development and validation

View service details →I053

Deep network dual-light image fusion

Input: paired training set

Output: Fusion model and output graph

Requires special model and data verification

View service details →I054

Feature-level dual-light detection fusion

Input: simultaneous dual light and annotation

Output: Target results and modal weights

Requires special model and data verification

View service details →I055

Decision-level multi-sensor fusion

Input: detection results of each modality

Output: Merge target, confidence and conflict status

Universal foundation can be reused, requiring infrared adaptation

View service details →I056

Cross-spectral knowledge distillation

Input: paired/unpaired data

Output: Single-modal student model

Requires project-specific development and validation

View service details →I057

Infrared and depth/point cloud thermal texture mapping

Input: IR+RGB-D/LiDAR

Output: point cloud or mesh with temperature

Need to be evaluated according to project conditions

View service details →I058

Thermal infrared stereo matching and depth estimation

Input: Dual thermal imaging sync pair

Output: disparity, depth and active area

Requires project-specific development and validation

View service details →I059

IR+radar target level fusion

Input: IR and radar tracks

Output: target state, velocity and confidence

Universal foundation can be reused, requiring infrared adaptation

View service details →I060

Registration, synchronization and fusion quality gating

Input: multi-source data

Output: Available/degraded status and failure reason

Requires project-specific development and validation

View service details →

Implementation and delivery methods

Project input confirmationCheck camera, spectral band, bit depth, SDK, environmental conditions, sample and acceptance true value.
Sample verificationVerify key processing links, applicable conditions and abnormal working conditions, and determine the development scope and acceptance methods.
Algorithm development and integrationImplement data parsing, algorithms, quality gating, interfaces and target platform deployment.
Test acceptance and handoverRetest according to the agreed test set and target platform, and hand over the deliverables, test results and applicable conditions.

Requirements and technical solutions, input and output and interface field definitions
Algorithm library, model or SDK/API; delivery form is confirmed in the project plan
Sample program, parameter configuration, error status and calling instructions
Test set version, indicator definition, stratification results and failed sample records
Target platform adaptation, resource usage and running delay records
Version, dependencies, license, reproduction steps and applicable conditions description

Acceptance and capability boundaries

Each algorithm sets accuracy, repeatability, robustness, speed, resource usage and failure status indicators according to the output type.

Production performance and delivery scope are confirmed based on target equipment, independent samples and written acceptance indicators.

Project consultation

Define the Development Scope with Samples and Device Requirements

Geometric, cross-spectral registration and multi-sensor fusion infrared algorithm development services

Please describe the task object, original picture or video, target indicators, device platform, interface and sample situation.

Phone: 13910119357
xuzhiyang0928@gmail.com