Overlapping Visual Grouping Without Semantic Priors

2026-09-23

AI Summary

本文提出了一种基于传感器的域父群组（DPG）方法，通过在不同处理域中形成空间连接群组并结合跨域重叠来解决视觉输入的早期组织问题，无需预先定义语义。

Abstract

Most computer-vision systems organize visual input toward a predefined interpretation, such as semantic categories, prompted regions, learned object-like representations, or a single spatial partition. This work considers an earlier stage of visual organization: the formation of candidate perceptual units directly from sensor measurements before their identity, meaning, or task relevance is known. We introduce Domain Parent Grouping (DPG), a sensor-grounded grouping method in which complementary measurement relationships are represented in separate processing domains. Spatially connected groups formed within these domains are related through cross-domain overlap, yielding a non-exclusive grouping representation rather than a single mutually exclusive segmentation. This representation retains broader and more localized groups, as well as alternative grouping boundaries over the same image locations, simultaneously available. DPG also includes a native mechanism for reprocessing selected group content, in which input-relative measurement ranges allow the observational resolution to change while preserving previously formed groups. DPG is implemented using three domains representing locally contextualized luminance, direct chromatic relationships, and contextual chromatic relationships. Experiments on the BSDS500 dataset demonstrate the benefit of combining the three domains. The results further show that DPG forms measurement-supported groups corresponding to low-level image structure, and that these groups exhibit measurable correspondence with human-annotated regions and boundaries. This demonstrates that structured visual organization can emerge directly from relationships among sensor measurements.

Problem

• Visual Grouping
• Sensor Measurements
• Perceptual Units
• Non-Exclusive Grouping

Innovation

• Domain Parent Grouping
• sensor-grounded grouping
• non-exclusive grouping representation
• cross-domain overlap
• reprocessing mechanism