Dynamic programming with adaptive and self-adjusting penalty for real-time accurate stereo matching

Hammami, Mohamed; Boukamcha, Hamdi; Mtibaa, Abdellatif; Atri, Mohamed

doi:10.1007/s11554-021-01180-1

Cited by 10 publications

(4 citation statements)

References 40 publications

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“…The selection of speech feature parameters and extraction algorithms plays a crucial role in the entire speech recognition system [15]. Preprocessing, speech enhancement, endpoint detection and other links are all to pave the way for feature parameter extraction, which is convenient for subsequent training and identification.…”

Section: Speech Feature Parameter Extractionmentioning

confidence: 99%

Voice Timbre Evaluation of Broadcast Host Based on Extraction of Voice Feature Parameters

2022

IJAID

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The continuous development of science and technology has continuously improved people's quality of life. People's definition of health is also clearer, and more attention is paid to laryngeal diseases and the quality of voice. In real life, accurate evaluation of voice quality and timbre is not only beneficial to the diagnosis and treatment of laryngeal diseases. At the same time, it also plays a vital role in the selection and training of broadcasting and hosting talents. The current evaluation methods for related professional voices have shortcomings such as time-consuming, labor-intensive and highly subjective. In order to overcome these defects and explore how to help the training of broadcast hosts, this paper conducts in-depth research on the processing method of speech signals and the objective evaluation method of artistic voice timbre from the perspective of signal processing. Through experimental analysis, it is found that the objective evaluation method of voice timbre based on acoustic parameters F0, F1, F3 can better realize the objective evaluation of the voice timbre of the broadcast host. Among them, the accuracy rate of the evaluation method based on multiple feature parameter extraction reaches 89.2%.

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Section: Speech Feature Parameter Extractionmentioning

confidence: 99%

Voice Timbre Evaluation of Broadcast Host Based on Extraction of Voice Feature Parameters

2022

IJAID

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“…One of the key technologies is based on stereo camera vision for obstacle segmentation. The objects to be segmented are mainly road surface, road traffic signs, vehicles, pedestrians and other road target information in front of the vehicle [6][7][8][9]. These methods all require setting thresholds, but accurate and reasonable thresholds are often difficult to obtain due to various factors such as noise, and the target segmentation results are also sensitive to threshold selection, making the segmentation results in practical applications poorly robust due to the limitations of threshold selection [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Robust Stereo Road Image Segmentation Using Threshold Selection Optimization Method Based on Persistent Homology

Zhu,

Gu,

Fan

et al. 2023

IEEE Access

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This paper introduces a novel method for road target segmentation in the context of unmanned driving based on stereo disparity maps. The proposed method utilizes topological persistence threshold analysis to address the challenges associated with selecting appropriate threshold values. The approach involves converting 3D vehicle road images into uv-disparity maps, extracting road planes using v-disparity maps, and calculating occupancy grid maps using u-disparity maps. Persistence diagrams are then constructed by generating segmentation results under various threshold parameters. By establishing persistence boundaries in these diagrams, the most significant regions are identified, enabling the determination of robust segmentation thresholds. Experimental validation using KITTI stereo image datasets demonstrates the effectiveness of the proposed method, with low error rates and superior performance compared to other thresholding segmentation methods. The research holds potential for application in autonomous driving systems.

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“…Using a two-layer MRF, the upper layer models the splitting properties of the vertices and the lower layer optimizes region-based stereo matching. Global stereo matching algorithms usually require substantial computational resources [13][14][15][16][17]. To reduce the complexity of global cost function optimization and guarantee the accuracy of the results, H. Hrischmiiller proposed the most popular and widely used semi-global matching algorithm [18] (SGM), which uses path-wise optimization to approximate the global cost function.…”

Section: Introductionmentioning

confidence: 99%

Generalized Stereo Matching Method Based on Iterative Optimization of Hierarchical Graph Structure Consistency Cost for Urban 3D Reconstruction

Yang

Chen

2023

Remote Sensing

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Generalized stereo matching faces the radiation difference and small ground feature difference brought by different satellites and different time phases, while the texture-less and disparity discontinuity phenomenon seriously affects the correspondence between matching points. To address the above problems, a novel generalized stereo matching method based on the iterative optimization of hierarchical graph structure consistency cost is proposed for urban 3D scene reconstruction. First, the self-similarity of images is used to construct k-nearest neighbor graphs. The left-view and right-view graph structures are mapped to the same neighborhood, and the graph structure consistency (GSC) cost is proposed to evaluate the similarity of the graph structures. Then, cross-scale cost aggregation is used to adaptively weight and combine multi-scale GSC costs. Next, object-based iterative optimization is proposed to optimize outliers in pixel-wise matching and mismatches in disparity discontinuity regions. The visibility term and the disparity discontinuity term are iterated to continuously detect occlusions and optimize the boundary disparity. Finally, fractal net evolution is used to optimize the disparity map. This paper verifies the effectiveness of the proposed method on a public US3D dataset and a self-made dataset, and compares it with state-of-the-art stereo matching methods.

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Dynamic programming with adaptive and self-adjusting penalty for real-time accurate stereo matching

Cited by 10 publications

References 40 publications

Voice Timbre Evaluation of Broadcast Host Based on Extraction of Voice Feature Parameters

Voice Timbre Evaluation of Broadcast Host Based on Extraction of Voice Feature Parameters

Robust Stereo Road Image Segmentation Using Threshold Selection Optimization Method Based on Persistent Homology

Generalized Stereo Matching Method Based on Iterative Optimization of Hierarchical Graph Structure Consistency Cost for Urban 3D Reconstruction

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