Feature matching is pivotal when using multi-view stereo (MVS) to reconstruct dense 3D models from calibrated images. This paper proposes PAC-MVSNet. which integrates perspective-aware convolution (PAC) and metadata-enhanced cost volumes to address the challenges in reflective and texture-less regions. PAC dynamically aligns convolutional kernels with scene perspective lines. https://eeflspm8wtln2.timeblog.net/70683012/bottom-up-approach-to-strengthen-community-based-malaria-control-strategy-from-community-health-workers-perceptions-of-their-past-present-and-future-a-qualitative-study-in-palawan-philippines