A computationally efficient stereo matching architecture, termed MCFNet, designed to minimize processing bottlenecks without compromising accuracy is introduced, highlighting its potential for practical multimedia systems such as autonomous driving and intelligent robotics.
Stereonetworks trained on synthetic data often degrade in real-world scenes. Within an IGEV-style pipeline, domain-sensitive features may disturb correspondence cues, average matching-dimension pooling may attenuate reliable responses, and local motion encoding does not explicitly exploit rectified stereo geometry. We...
PhasorNet is proposed, a lightweight yet powerful framework that boosts geometric discrimination via frequency-domain cues that achieves state-of-the-art performance on the challenging ETH3D benchmark while exhibiting excellent cross-domain generalization on KITTI, delivering an efficient and practical solution for acc...
Md Raqib Khan, S. Vipparthi, Subrahmanyam Murala· 0 citations
In recent years, binocular stereo matching has been widely adopted for three-dimensional object measurement. However, conventional methods often suffer from performance degradation in close-range scenarios, where the reduced distance to the target results in substantially larger disparities, requiring a wider search ra...
Xin-Le Jin, Dong-Yun Lin, Wei-Yao Lan et al.· Measurement science and tech...· 0 citations
To address central pixel dependency and degraded matching reliability in low-texture or occluded regions, this paper proposes a robust binocular ranging framework integrating an improved Census-BT cost with a multi-resolution region of interest (ROI) pyramid strategy. The approach employs an annular Gaussian-weighted C...
He-Yang Sun, Wen-Chuan Zhao, Feng-Shu Yu et al.· Measurement science and tech...· 0 citations
An improved algorithm based on dynamic multi-feature fusion and dual-branch adaptive aggregation that adapts to local scene characteristics and the ultimate disparity map is generated through a region-based disparity optimization module and multiple optimization processes.
Sen Lin, Lu-Heng Ren· Optoelectronics Letters· 0 citations
Multi-view stereo (MVS) aims to recover dense 3D structures by exploiting geometric constraints and complementary visual information across multiple views. Although learning-based MVS methods generally achieve better reconstruction performance than traditional approaches, they remain vulnerable to ambiguous local match...
Wei-Ye Xing, Jin Huang· 2026 6th International Confe...· 0 citations
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