IMAGE PROCESSING APPARATUS

Patent №

US 6,970,591

Granted

2005-11-29

Filed 2000

Owner

CANON KABUSHIKI KAISHA

Lab

AI components

2

nlp · vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09718405

In an image processing apparatus 20 an input sequence 130 of video images is processed to determine the different positions and orientations at which the images were recorded in an efficient and accurate manner. A subset of the input images are selected as keyframes to form a sequence 250 of keyframes. Respective triples of keyframes having different, non-overlapping positions in the sequence 250 are selected and processed to determine the relative positions and orientations at which the keyframes in each triple were recorded to form respective sets of keyframes. The positions and orientations of keyframes between the keyframes in each triple are then calculated to form expanded sets of keyframes 266, 276, 286. The sets are further expanded by calculating the positions and orientations of keyframes which lie between sets in the sequence 250. The sets are merged by calculating the relationship between the coordinate systems in which the positions and orientations of the keyframes in each set are defined. During the processing, the positions and orientations calculated for keyframes in a set are adjusted to optimise the calculated solutions. This is performed in stages, considering at each stage a different window 270 of the keyframes and performing processing to minimise the error associated with the keyframes in the window. The window is moved sequentially through the keyframes so that every keyframe in a set is considered at least once.

Natural languageVisionG06T 7/80G06T 7/246G06V 10/147G06V 10/24G06V 10/16G06V 2201/12

AI classification

Vision1.00
Natural language0.65
Planning0.36
Knowledge representation0.17
AI hardware0.04
Evolutionary computation0.03
Speech0.01
Machine learning0.00

Ownership

CANON KABUSHIKI KAISHA

assignment · 113290052

Assignors

LYONS, ALEXANDER RALPH, BAUMBERG, ADAM MICHAEL

On an employer assignment, the assignors are typically the inventors.

From the same owner

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