Metal highlight spots removal based on multi-light-sources and total variation inpainting
Proceedings of the 2006 ACM international conference on Virtual reality continuum and its applications
Multiflash Stereopsis: Depth-Edge-Preserving Stereo with Small Baseline Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evolutive Parametric Approach for Specular Correction in the Dichromatic Reflection Model
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Shape from Depth Discontinuities
Emerging Trends in Visual Computing
Vision-guided Robot System for Picking Objects by Casting Shadows
International Journal of Robotics Research
Detecting and segmenting un-occluded items by actively casting shadows
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
A geometrical method of diffuse and specular image components separation
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
Rainbow flash camera: depth edge extraction using complementary colors
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
A new projection space for separation of specular-diffuse reflection components in color images
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
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We present a novel method to reduce the effect of specularities in digital images. Our approach relies on a simple modification of the capture setup: a multi-flash camera is used to take multiple pictures of the scene, each one with a differently positioned light source. We then formulate the problem of specular highlights reduction as solving a Poisson equation on a gradient field obtained from the input images. Experimental results are demonstrated on real and synthetic images. The entire setup can be conceivably packaged into a self-contained device, no larger than existing digital cameras.