<p>Photometric Visual Servoing (PVS) is a form of Direct Visual Servoing (DVS) that uses only the pure luminance intensities of all image pixels to guide camera motion, without explicit feature extraction, matching, or tracking. However, traditional PVS is sensitive to illumination variations and performs poorly under partial occlusions. In this paper, a novel control law for PVS based on Hermite filters is presented that fundamentally addresses these limitations. By exploiting the high precision and robustness of Hermite filters which excel at boundary enhancement, noise reduction, and multiresolution analysis, the Hermite features are used as input signals in the image-based control and for designing the associated interaction matrix. The primary advantage of this approach is that Hermite filters inherently reduce sensitivity to global illumination changes while maintaining local feature information under partial occlusions. The effectiveness of the developed strategy is validated through several simulations conducted under varying illumination scenarios and with partial occlusions, confirming the robustness and accuracy of the proposed technique. Additionally, the performance of the proposed Hermite-based PVS (HER-PVS) method is compared to the traditional PVS approach to evaluate its efficiency.</p>