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Assembling parts into an object is a combinatorial problem that arises in a variety of contexts in the real world and involves numerous applications in science and engineering. Previous related work tackles limited cases with identical unit…

Computer Vision and Pattern Recognition · Computer Science 2022-06-22 Jinhwi Lee , Jungtaek Kim , Hyunsoo Chung , Jaesik Park , Minsu Cho

Automatic assembly of apictorial jigsaw puzzles presents a classic curve matching problem, fundamentally challenged by discrete and noisy contour data obtained from digitization. Conventional smoothing methods, which are required to process…

Computational Geometry · Computer Science 2025-11-11 Igor Orynyak , Dmytro Koltsov , Danylo Tavrov

Jigsaw puzzle solving, the problem of constructing a coherent whole from a set of non-overlapping unordered visual fragments, is fundamental to numerous applications, and yet most of the literature of the last two decades has focused thus…

Computer Vision and Pattern Recognition · Computer Science 2026-04-15 Peleg Harel Ofir Itzhak Shahar , Ohad Ben-Shahar

This paper introduces a new shape-matching methodology, combinative matching, to combine interlocking parts for geometric shape assembly. Previous methods for geometric assembly typically rely on aligning parts by finding identical surfaces…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Nahyuk Lee , Juhong Min , Junhong Lee , Chunghyun Park , Minsu Cho

Pairwise compatibility calculation is at the core of most fragments-reconstruction algorithms, in particular those designed to solve different types of the jigsaw puzzle problem. However, most existing approaches fail, or aren't designed to…

Computer Vision and Pattern Recognition · Computer Science 2025-07-15 Ofir Itzhak Shahar , Gur Elkin , Ohad Ben-Shahar

This paper proposes a novel algorithm to reassemble an arbitrarily shredded image to its original status. Existing reassembly pipelines commonly consist of a local matching stage and a global compositions stage. In the local stage, a key…

Computer Vision and Pattern Recognition · Computer Science 2019-07-24 Canyu Le , Xin Li

The automatic assembly problem has attracted increasing interest due to its complex challenges that involve 3D representation. This paper introduces Jigsaw++, a novel generative method designed to tackle the multifaceted challenges of…

Computer Vision and Pattern Recognition · Computer Science 2025-10-16 Jiaxin Lu , Gang Hua , Qixing Huang

In this paper, we introduce the following problem in the theory of algorithmic self-assembly: given an input shape as the seed of a tile-based self-assembly system, design a finite tile set that can, in some sense, uniquely identify whether…

Computational Complexity · Computer Science 2010-06-16 Matthew J. Patitz , Scott M. Summers

Image composition aims to blend multiple objects to form a harmonized image. Existing approaches often assume precisely segmented and intact objects. Such assumptions, however, are hard to satisfy in unconstrained scenarios. We present…

Computer Vision and Pattern Recognition · Computer Science 2022-10-13 Peiye Zhuang , Jia-bin Huang , Ayush Saraf , Xuejian Rong , Changil Kim , Denis Demandolx

Automated assembly of 3D fractures is essential in orthopedics, archaeology, and our daily life. This paper presents Jigsaw, a novel framework for assembling physically broken 3D objects from multiple pieces. Our approach leverages…

Computer Vision and Pattern Recognition · Computer Science 2023-10-30 Jiaxin Lu , Yifan Sun , Qixing Huang

We consider apictorial edge-matching puzzles, in which the goal is to arrange a collection of puzzle pieces with colored edges so that the colors match along the edges of adjacent pieces. We devise an algebraic representation for this…

Computer Vision and Pattern Recognition · Computer Science 2015-07-30 Shahar Z. Kovalsky , Daniel Glasner , Ronen Basri

In the abstract Tile Assembly Model, self-assembling systems consisting of tiles of different colors can form structures on which colored patterns are ``painted.'' We explore the complexity, in terms of the numbers of unique tile types…

Emerging Technologies · Computer Science 2024-03-12 Phillip Drake , Matthew J. Patitz , Scott M. Summers , Tyler Tracy

Jigsaw puzzle solving requires the rearrangement of unordered pieces into their original pose in order to reconstruct a coherent whole, often an image, and is known to be an intractable problem. While the possible impact of automatic puzzle…

Computer Vision and Pattern Recognition · Computer Science 2025-11-07 Yaniv Ohayon , Ofir Itzhak Shahar , Ohad Ben-Shahar

We propose a general framework for solving inverse self-assembly problems, i.e. designing interactions between elementary units such that they assemble spontaneously into a predetermined structure. Our approach uses patchy particles as…

Soft Condensed Matter · Physics 2022-07-13 John Russo , Flavio Romano , Lukas Kroc , Francesco Sciortino , Lorenzo Rovigatti , Petr Sulc

One emerging approach for the fabrication of complex architectures on the nanoscale is to utilize particles customized to intrinsically self-assemble into a desired structure. Inverse methods of statistical mechanics have proven…

Materials Science · Physics 2017-09-08 R. B. Jadrich , B. A. Lindquist , T. M. Truskett

The goal of inverse self-assembly is to design inter-particle interactions capable of assembling the units into a desired target structure. The effective assembly of complex structures often requires the use of multiple components, each new…

Soft Condensed Matter · Physics 2023-11-08 Camilla Beneduce , Francesco Sciortino , Petr Sulc , John Russo

Image inpainting refers to the restoration of an image with missing regions in a way that is not detectable by the observer. The inpainting regions can be of any size and shape. This is an ill-posed inverse problem that does not have a…

Computer Vision and Pattern Recognition · Computer Science 2022-05-05 Coloma Ballester , Aurelie Bugeau , Samuel Hurault , Simone Parisotto , Patricia Vitoria

By suitable examples we illustrate an algorithm for composition of inverse problems.

History and Overview · Mathematics 2014-11-24 Julia Ninova , Vesselka Mihova

We present a method to construct high-order polynomial approximate invariants (AI) for non-integrable Hamiltonian dynamical systems, and apply it to modern ring-based particle accelerators. Taking advantage of a special property of one-turn…

Chaotic Dynamics · Physics 2026-03-09 Yongjun Li , Derong Xu , Yue Hao

We propose a novel mathematical framework to address the problem of automatically solving large jigsaw puzzles. This problem assumes a large image, which is cut into equal square pieces that are arbitrarily rotated and shuffled, and asks to…

Computer Vision and Pattern Recognition · Computer Science 2020-11-03 Vahan Huroyan , Gilad Lerman , Hau-Tieng Wu
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