While the eugenic roots of computer vision are well-documented in critical technology studies, less attention has been paid to the operational mechanisms through which this violence is enacted at the level of the pipeline. This paper employs Mary Shelley's Frankenstein not as a metaphor for unintended consequences, but as a diagnostic framework for method: disassembly, reconstruction, and the production of a creature whose legitimacy is asserted by the procedure that made it. I argue that embedding-based facial recognition enacts what I call computational epistemicide, an extension of Sueli Carneiro's concept of epistemicide to the computational domain - by destroying the face as a living, relational surface and authorizing a numerical proxy as the privileged site of identity. Across detection/cropping, landmarking, alignment/frontalization, and embedding, the face is progressively narrowed to what can be stabilized as data, producing a canonical face as the condition of legibility and a corresponding form-subject as the condition of recognition. Vectorization completes the Frankensteinian "stitching": the dissected face is reassembled into a fixed-dimensional artifact designed to circulate across databases and institutions. I then show how distance-based similarity and thresholding operationalize a norm of "close enough," making recognition inseparable from standardization and rendering reformist "ethical AI" optimization structurally insufficient. The paper concludes by arguing for abolition as a normative stance: refusing vectorized identity as a legitimate basis for rights and access, and dismantling the institutional impulse to govern human life through dissectible data points.

翻译：尽管批判技术研究中已充分记录了计算机视觉的优生学根源，但较少关注这种暴力在流水线层面的运作机制。本文借用玛丽·雪莱的《弗兰肯斯坦》并非作为意外后果的隐喻，而是作为方法论的诊断框架：拆解、重构，以及通过制造程序本身来宣称合法性的生物。我认为，基于嵌入的面部识别实施了我所称的“计算性知识灭绝”——将苏埃利·卡内罗的知识灭绝概念扩展至计算领域——通过摧毁作为生动、关系性表面的面部，并授权数值代理作为身份的特权场所。在检测/裁剪、关键点标定、对齐/正面化与嵌入过程中，面部被逐渐窄化为可稳定为数据的形式，从而产生作为可读性条件的“典范面部”，以及作为识别条件的相应“形式主体”。向量化完成了弗兰肯斯坦式的“缝合”：被解剖的面部被重组为一个固定维度的产物，旨在跨数据库和机构流通。随后，我展示了基于距离的相似性与阈值化如何操作化“足够接近”的规范，使识别与标准化不可分割，并使得改良主义的“伦理人工智能”优化在结构上显得不足。本文最后主张以废除作为规范性立场：拒绝将向量化身份作为权利与访问的合法基础，并瓦解通过可分割数据点治理人类生活的制度冲动。