# Image Processing and 3D Reconstruction

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/image-processing-and-3d-reconstruction/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the automated reconstruction of fragmented objects, including archaeological artifacts, pottery, and shredded documents. It involves techniques such as image matching, jigsaw puzzle solving, 3D scanning, and computerized classification to reassemble and analyze fragmented cultural heritage objects. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t14339 |
| Works | 51 |

## Topic papers all

Showing 15 of 51.

- [ShapeNet: An Information-Rich 3D Model Repository](https://scholariq.org/papers/shapenet-an-information-rich-3d-model-repository-2/)
- [ShapeNet: An Information-Rich 3D Model Repository](https://scholariq.org/papers/shapenet-an-information-rich-3d-model-repository/)
- [Textfinder: an automatic system to detect and recognize text in images](https://scholariq.org/papers/textfinder-an-automatic-system-to-detect-and-recognize-text-in-images/)
- [The KIT object models database: An object model database for object recognition, localization and manipulation in service robotics](https://scholariq.org/papers/the-kit-object-models-database-an-object-model-database-for-object-recognition/)
- [Finding text in images](https://scholariq.org/papers/finding-text-in-images/)
- [Feature description with SIFT, SURF, BRIEF, BRISK, or FREAK? A general question answered for bone age assessment](https://scholariq.org/papers/feature-description-with-sift-surf-brief-brisk-or-freak-a-general-question/)
- [Quantile regression as a generic approach for estimating uncertainty of digital soil maps produced from machine-learning](https://scholariq.org/papers/quantile-regression-as-a-generic-approach-for-estimating-uncertainty-of-digital/)
- [An improved faster-RCNN model for handwritten character recognition](https://scholariq.org/papers/an-improved-faster-rcnn-model-for-handwritten-character-recognition/)
- [Crater Detection by a Boosting Approach](https://scholariq.org/papers/crater-detection-by-a-boosting-approach/)
- [Spherical Wavelet Descriptors for Content-based 3D Model Retrieval](https://scholariq.org/papers/spherical-wavelet-descriptors-for-content-based-3d-model-retrieval/)
- [A framework for optimizing environmental covariates to support model interpretability in digital soil mapping](https://scholariq.org/papers/a-framework-for-optimizing-environmental-covariates-to-support-model/)
- [MA130301GT catalogue of Martian impact craters and advanced evaluation of crater detection algorithms using diverse topography and image datasets](https://scholariq.org/papers/ma130301gt-catalogue-of-martian-impact-craters-and-advanced-evaluation-of-crater/)
- [A deep learning approach to the classification of 3D CAD models](https://scholariq.org/papers/a-deep-learning-approach-to-the-classification-of-3d-cad-models/)
- [Arabic Handwritten Recognition Using Deep Learning: A Survey](https://scholariq.org/papers/arabic-handwritten-recognition-using-deep-learning-a-survey/)
- [Automatic Recognition of Impact Craters on the Surface of Mars](https://scholariq.org/papers/automatic-recognition-of-impact-craters-on-the-surface-of-mars/)

## Topic primary papers

- [LaSeSOM: A Latent and Semantic Representation Framework for Soft Object Manipulation](https://scholariq.org/papers/lasesom-a-latent-and-semantic-representation-framework-for-soft-object/)
- [A computational/experimental platform for investigating three-dimensional puzzle solving of comminuted articular fractures](https://scholariq.org/papers/a-computational-experimental-platform-for-investigating-three-dimensional-puzzle/)
- [Deep Learning Multiclassification Model: Recognizing Monuments](https://scholariq.org/papers/deep-learning-multiclassification-model-recognizing-monuments/)
- [Landmark Scene Classification Using Vision Transformer](https://scholariq.org/papers/landmark-scene-classification-using-vision-transformer/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.