Multilayered stitch generating for random-needle embroidery

Ma, Chen; Sun, Zhengxing

doi:10.1007/s00371-021-02195-2

Cited by 2 publications

(1 citation statement)

References 31 publications

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“…Embroidery, one of the oldest forms of art, produces exquisite decorations through the interplay of fabric and threads, and continues to captivate researchers in visual computing [EMZ16, MS22, RSSH23,ZPH*23]. A recent paper [RSSH23] delves into Canadian smocking, an embroidery technique renowned for its intricate and voluminous pleats, whose geometric shape is difficult to predict by looking at the smocking pattern alone.…”

Section: Introductionmentioning

confidence: 99%

Computational Smocking through Fabric‐Thread Interaction

Zhou,

Ren,

Sorkine‐Hornung

2024

Computer Graphics Forum

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We formalize Italian smocking, an intricate embroidery technique that gathers flat fabric into pleats along meandering lines of stitches, resulting in pleats that fold and gather where the stitching veers. In contrast to English smocking, characterized by colorful stitches decorating uniformly shaped pleats, and Canadian smocking, which uses localized knots to form voluminous pleats, Italian smocking permits the fabric to move freely along the stitched threads following curved paths, resulting in complex and unpredictable pleats with highly diverse, irregular structures, achieved simply by pulling on the threads. We introduce a novel method for digital previewing of Italian smocking results, given the thread stitching path as input. Our method uses a coarse‐grained mass‐spring system to simulate the interaction between the threads and the fabric. This configuration guides the fine‐level fabric deformation through an adaptation of the state‐of‐the‐art simulator, C‐IPC [LKJ21]. Our method models the general problem of fabric‐thread interaction and can be readily adapted to preview Canadian smocking as well. We compare our results to baseline approaches and physical fabrications to demonstrate the accuracy of our method.

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Section: Introductionmentioning

confidence: 99%

Computational Smocking through Fabric‐Thread Interaction

Zhou,

Ren,

Sorkine‐Hornung

2024

Computer Graphics Forum

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Directionality‐Aware Design of Embroidery Patterns

Liu

Piovarči

Hafner

et al. 2023

Computer Graphics Forum

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Embroidery is a long‐standing and high‐quality approach to making logos and images on textiles. Nowadays, it can also be performed via automated machines that weave threads with high spatial accuracy. A characteristic feature of the appearance of the threads is a high degree of anisotropy. The anisotropic behavior is caused by depositing thin but long strings of thread. As a result, the stitched patterns convey both color and direction. Artists leverage this anisotropic behavior to enhance pure color images with textures, illusions of motion, or depth cues. However, designing colorful embroidery patterns with prescribed directionality is a challenging task, one usually requiring an expert designer. In this work, we propose an interactive algorithm that generates machine‐fabricable embroidery patterns from multi‐chromatic images equipped with user‐specified directionality fields. We cast the problem of finding a stitching pattern into vector theory. To find a suitable stitching pattern, we extract sources and sinks from the divergence field of the vector field extracted from the input and use them to trace streamlines. We further optimize the streamlines to guarantee a smooth and connected stitching pattern. The generated patterns approximate the color distribution constrained by the directionality field. To allow for further artistic control, the trade‐off between color match and directionality match can be interactively explored via an intuitive slider. We showcase our approach by fabricating several embroidery paths.

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Multilayered stitch generating for random-needle embroidery

Cited by 2 publications

References 31 publications

Computational Smocking through Fabric‐Thread Interaction

Computational Smocking through Fabric‐Thread Interaction

Directionality‐Aware Design of Embroidery Patterns

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