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   Articles with "cost aggregation" as a keyword



Hybrid cost aggregation for dense stereo matching

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recommendations! Published in 2020 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-020-09127-7

Abstract: Matching cost initialization and aggregation are two major steps in the stereo matching framework. For dense stereo matching, a matching cost needs to be computed at each pixel for all disparities within the search range… read more here.

Keywords: aggregation; cost aggregation; stereo matching; dense stereo ... See more keywords

Local-to-Global Cost Aggregation for Semantic Correspondence

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recommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2022.3208919

Abstract: Establishing visual correspondences across semantically similar images is challenging due to intra-class variations, viewpoint changes, repetitive patterns, and background clutter. Recent approaches focus on cost aggregation to achieve promising performance. However, these methods fail to… read more here.

Keywords: cost aggregation; cost; local global; aggregation semantic ... See more keywords

Cost Volume Aggregation in Stereo Matching Revisited: A Disparity Classification Perspective

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recommendations! Published in 2024 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2024.3484251

Abstract: Cost aggregation plays a critical role in existing stereo matching methods. In this paper, we revisit cost aggregation in stereo matching from disparity classification and propose a generic yet efficient Disparity Context Aggregation (DCA) module… read more here.

Keywords: stereo matching; disparity; aggregation; cost ... See more keywords

CAFNet: Efficient Cost Aggregation via Conv-Atten Fusion for Real-Time Stereo Matching Toward Autonomous Driving

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recommendations! Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2025.3561309

Abstract: Stereo matching that provides dense 3D information is crucial in the perception of autonomous driving. Most state-of-the-art stereo matching networks pursue higher prediction accuracy relying on the strong regularization of 3D convolutions, but at the… read more here.

Keywords: real time; stereo matching; aggregation; cost ... See more keywords

Shape-reserved stereo matching with segment-based cost aggregation and dual-path refinement

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recommendations! Published in 2020 at "EURASIP Journal on Image and Video Processing"

DOI: 10.1186/s13640-020-00525-3

Abstract: Stereo matching is one of the most important topics in computer vision and aims at generating precise depth maps for various applications. The major challenge of stereo matching is to suppress inevitable errors occurring in… read more here.

Keywords: dual path; cost aggregation; segment based; stereo matching ... See more keywords